Python Developer Jobs in UAE in UAE 2026

Full Time 0 to 0 years

Forward Deployed Engineer - SRE

On-site - UAE - Dubai 2 August 2026

Accounting, Finance & Banking

Location: North America Remote/SF-Hybrid Full-Time About Andromeda Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers. We began with a single managed cluster — but it filled almost instantly. Since then, we’ve been quietly building the systems, network, and orchestration layer that makes the world’s AI infrastructure more accessible. Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it’s needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth. Our long-term vision is to build the liquidity layer for global AI compute. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering. The Role This is not a generalist SRE role, and it is not a support role. You will embed directly with the teams running large-scale training and inference on our clusters. You are responsible for onboarding them, tuning their jobs, and debugging their failures alongside them, while owning the infrastructure and automation that makes those clusters reliable in the first place. Forward deployed means you spend real time inside customer environments: reading their training code, sitting in their Slack channels, watching their runs, and shipping fixes that land in our platform. When a multi-hundred-GPU run stalls, you are the person who figures out whether it's the fabric, the driver, the scheduler, or their dataloader, then you make sure it can't happen the same way twice. We're looking for engineers who have personally run GPU clusters in production, understand the failure modes of distributed training, and can reason about performance from network fabric → kernel → framework. Equally important: you can explain what you found to someone else's engineering team without condescension, and turn that conversation into a product improvement. What You’ll Do Serve as the primary technical point of contact for teams running large-scale training and inference workloads. Own onboarding end to end; environment setup, orchestration choice (Slurm, Kubernetes, or direct SSH), storage layout, first successful run at scale. You will continue to stay engaged as their workloads grow. Work inside customer environments to diagnose real failures: NCCL timeouts, stragglers, checkpoint I/O stalls, degraded links, OOM patterns, container and driver mismatches. Read their code when you need to. Reproduce, isolate, fix, and write it down. Profile and improve distributed training performance on live workloads. Improving MFU, cutting idle GPU time, and reducing time-to-first-successful-run for new deployments. Own reliability outcomes for the accounts you're deployed on. Ensure the health and performance of high-speed interconnects (Infini Band, RoCE, NVLink) that underpin distributed training. Diagnose and resolve fabric-level issues that degrade collective operations. Build deep visibility into GPU utilization, memory pressure, interconnect throughput, job performance, and hardware health. Turn every repeated deployment problem into automation: cluster provisioning, GPU health checks and burn-in, preflight validation, self-healing, firmware/driver lifecycle management, and reusable reference configurations for common training and serving stacks. Lead incident response for complex, multi-layer failures spanning hardware, networking, orchestration, and ML frameworks. Own the customer-facing communication during the incident and the blameless postmortem and systemic fix after it. You will see our rough edges before anyone else does. Bring that signal back to influence the roadmap, file the hard bugs, and build the missing pieces yourself when that's the fastest path. What We’re Looking For Hands-on experience operating GPU clusters in production (NVIDIA A100/H100/H200/B200 or equivalent). You understand GPU memory hierarchies, ECC behavior, thermal throttling, and hardware failure modes from direct experience. Production experience with Infini Band, RoCE, or NVLink fabrics in the context of distributed training. You can diagnose why an all-reduce is slow, identify a degraded link in a fat-tree topology, and reason about congestion control at scale. Working knowledge of how large training and inference jobs actually run. You don't need to design models, but you need to understand what's happening at the systems level when a large run stalls. Expert-level Linux experience: kernel tuning, driver management (NVIDIA drivers, CUDA toolkit), cgroup/namespace internals, container runtimes, and performance profiling at the syscall and hardware level. Strong experience running Kubernetes in production with GPU workloads. Experience with device plugins, topology-aware scheduling, multi-cluster, custom operators. Experience with Slurm or other HPC schedulers is equally valued. Strong engineering skills in Python, Go, or Bash. You build production-grade tools and services, not just scripts. Infrastructure-as-Code proficiency (Terraform, Helm, Ansible, or equivalent). Hands-on experience building monitoring and alerting for GPU-specific telemetry (DCGM, nvidia-smi, fabric manager metrics) integrated into actionable dashboards. You can go deep on architecture with a customer's infra team and clearly articulate tradeoffs to their leadership. You're comfortable being the only one in the room who knows the answer, and equally comfortable saying you don't yet. Proven track record leading incident response for complex distributed systems. Strong Candidates May Have Experience with high-performance parallel file systems (VAST, WEKA, Lustre, GPFS) and the checkpoint I/O and data-loading bottlenecks that come with large training runs. Time spent embedded with external engineering teams, i.e solutions architecture, professional services, deployed SRE, or technical account ownership at an infrastructure company. Experience operating production inference. Hands on experience with autoscaling, batching, KV cache behavior, cold starts, and multi-tenant GPU sharing. Contributions to relevant OSS projects, or benchmarks, postmortems, and deep-dives you've published. Experience working across heterogeneous providers and regions rather than a single hyperscaler. What Success Looks Like By the end of your first year: You know each of your accounts' actual technical goals including what they're training, what their scaling roadmap looks like over the next two quarters, what their real constraints are (budget, deadline, headcount, data), and you've written that down somewhere the rest of us can read it. You are the person your accounts' engineers message first, before they file a ticket, because you've earned it. Their reliability and throughput numbers are visibly better than at onboarding, and you can point to the specific changes that did it. Recurring problems you found in the field exist as automation, preflight checks, or documentation, not as tribal knowledge in your head. You've advocated internally for at least one roadmap change on behalf of a strategic customer, and it shipped. Why You’ll Love It Here High-growth environment: Get in early at a company at the center of the AI infrastructure boom Ownership: First FDE for the solutions engineering team, you’ll get to build this function from the ground up Competitive compensation: + meaningful equity Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Forward Deployed Engineer - SRE Location: North America Remote/SF-Hybrid Full-Time What You’ll Do Serve as the primary technical point of contact for teams running large-scale training and inference workloads. Own onboarding end to end; environment setup, orchestration choice (Slurm, Kubernetes, or direct SSH), storage layout, first successful run at scale. You will continue to stay engaged as their workloads grow. Work inside customer environments to diagnose real failures: NCCL timeouts, stragglers, checkpoint I/O stalls, degraded links, OOM patterns, container and driver mismatches. Read their code when you need to. Reproduce, isolate, fix, and write it down. Profile and improve distributed training performance on live workloads. Improving MFU, cutting idle GPU time, and reducing time-to-first-successful-run for new deployments. Own reliability outcomes for the accounts you're deployed on. Ensure the health and performance of high-speed interconnects (Infini Band, RoCE, NVLink) that underpin distributed training. Diagnose and resolve fabric-level issues that degrade collective operations. Build deep visibility into GPU utilization, memory pressure, interconnect throughput, job performance, and hardware health. Turn every repeated deployment problem into automation: cluster provisioning, GPU health checks and burn-in, preflight validation, self-healing, firmware/driver lifecycle management, and reusable reference configurations for common training and serving stacks. Lead incident response for complex, multi-layer failures spanning hardware, networking, orchestration, and ML frameworks. Own the customer-facing communication during the incident and the blameless postmortem and systemic fix after it. You will see our rough edges before anyone else does. Bring that signal back to influence the roadmap, file the hard bugs, and build the missing pieces yourself when that's the fastest path. What We’re Looking For Hands-on experience operating GPU clusters in production (NVIDIA A100/H100/H200/B200 or equivalent). You understand GPU memory hierarchies, ECC behavior, thermal throttling, and hardware failure modes from direct experience. Production experience with Infini Band, RoCE, or NVLink fabrics in the context of distributed training. You can diagnose why an all-reduce is slow, identify a degraded link in a fat-tree topology, and reason about congestion control at scale. Working knowledge of how large training and inference jobs actually run. You don't need to design models, but you need to understand what's happening at the systems level when a large run stalls. Expert-level Linux experience: kernel tuning, driver management (NVIDIA drivers, CUDA toolkit), cgroup/namespace internals, container runtimes, and performance profiling at the syscall and hardware level. Strong experience running Kubernetes in production with GPU workloads. Experience with device plugins, topology-aware scheduling, multi-cluster, custom operators. Experience with Slurm or other HPC schedulers is equally valued. Strong engineering skills in Python, Go, or Bash. You build production-grade tools and services, not just scripts. Infrastructure-as-Code proficiency (Terraform, Helm, Ansible, or equivalent). Hands-on experience building monitoring and alerting for GPU-specific telemetry (DCGM, nvidia-smi, fabric manager metrics) integrated into actionable dashboards. You can go deep on architecture with a customer's infra team and clearly articulate tradeoffs to their leadership. You're comfortable being the only one in the room who knows the answer, and equally comfortable saying you don't yet. Proven track record leading incident response for complex distributed systems. Strong Candidates May Have Experience with high-performance parallel file systems (VAST, WEKA, Lustre, GPFS) and the checkpoint I/O and data-loading bottlenecks that come with large training runs. Time spent embedded with external engineering teams, i.e solutions architecture, professional services, deployed SRE, or technical account ownership at an infrastructure company. Experience operating production inference. Hands on experience with autoscaling, batching, KV cache behavior, cold starts, and multi-tenant GPU sharing. Contributions to relevant OSS projects, or benchmarks, postmortems, and deep-dives you've published. Experience working across heterogeneous providers and regions rather than a single hyperscaler. By The End Of Your First Year: You know each of your accounts' actual technical goals including what they're training, what their scaling roadmap looks like over the next two quarters, what their real constraints are (budget, deadline, headcount, data), and you've written that down somewhere the rest of us can read it. You are the person your accounts' engineers message first, before they file a ticket, because you've earned it. Their reliability and throughput numbers are visibly better than at onboarding, and you can point to the specific changes that did it. Recurring problems you found in the field exist as automation, preflight checks, or documentation, not as tribal knowledge in your head. You've advocated internally for at least one roadmap change on behalf of a strategic customer, and it shipped. Why You’ll Love It Here High-growth environment: Get in early at a company at the center of the AI infrastructure boom Ownership: First FDE for the solutions engineering team, you’ll get to build this function from the ground up Competitive compensation: + meaningful equity Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

0 to 0 years Bayt

Senior AI Solutions Engineer

On-site - UAE 14 July 2026

Other

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.  The Pre-Sales Senior AI Solutions Engineer plays a pivotal role in helping enterprise customers see, feel, and believe in the value of agentic AI and ML platforms. Sitting at the intersection of business strategy, AI application design, and polished execution, your primary mission is to rapidly build enterprise-grade MVP agentic AI applications. You will partner with prospective customers and sales teams to map loosely defined problems into compelling, production‑inspired prototypes. These MVPs serve as credible, extensible foundations that showcase technical depth and accelerate time-to-value, acting as the bridge between immediate problem-solving and long-term platform adoption. Key Responsibilities Business-to-Technical Translation & Problem Understanding <ul><li>Partner with Sales Teams: Understand customer missions, strategic priorities, and constraints through short discovery sessions. </li><li>Map Capabilities: Translate business needs into platform capabilities, tailoring messaging for different personas (CIO, CTO, Chief Data Officer, program leads, technical practitioners). </li><li>Identify Value: Pinpoint high-leverage automation and decision points where agentic AI can create immediate, visible value, translating ambiguous problems into clear user journeys and agent responsibilities. </li></ul>Agentic AI Solution Design & Prototyping <ul><li>Rapid MVP Build: Design and implement end-to-end agentic AI MVPs, including multi-agent orchestration, tool use, memory, Model Context Protocol (MCP) servers, and agent observability. </li><li>Deployment Readiness: Define key technical requirements, recommend deployment models meeting specific security mandates, and advise on data readiness to ensure quick time-to-value for new and expansion opportunities. </li><li>Frontend & UX: Build intuitive, enterprise‑grade UIs using React and modern design systems (e.g., shadcn/ui) to communicate agent behavior transparently. </li><li>Architectural Soundness: Select and integrate appropriate LLMs, frameworks, and agent architecture to balance speed, cost, and explainability while establishing scalable platform foundations. </li></ul>Demo Execution & Sales Collaboration <ul><li>Outcome-Oriented Demos: Deliver engaging live demos that tell a clear story: problem → agentic solution → business impact. Help shape and refine use cases based on account maturity and strategic alignment. </li><li>Trusted Advisor: Act as a technical pillar across the sales team, supporting Account Executives, Strategic Account Directors, and BDRs with knowledge and assets that advance AI adoption. </li><li>Iterative Refinement: Iterate rapidly based on customer feedback during pilots, workshops, or proofs of value (POVs). </li></ul>Cross-Functional Feedback & Compliance Alignment <ul><li>Security & Governance: Support conversations around AI governance, data security, model transparency, and responsible AI practices in alignment with regulations. </li><li>Internal Feedback Loop: Provide structured feedback on customer needs, procurement hurdles, and architectural gaps to Product, Marketing, and Enablement teams to keep offerings relevant. </li><li>Reusable Assets: Contribute reusable patterns, templates, and internal best practices to accelerate future MVP delivery and platform selling. </li></ul>Knowledge, Skills, and Abilities Pre-Sales & Platform Selling Experience <ul><li>Demonstrated success supporting sales pursuits (new logos and account expansion) with deep technical expertise and solution design. </li><li>Strong ability to translate agentic AI and ML platform capabilities into compelling value propositions. </li><li>Prior experience turning rapid MVPs into production applications or long‑term enterprise platforms. </li></ul>Core Technical Skills <ul><li>Hands-on experience building agentic AI applications using modern LLM frameworks, orchestration patterns, and backend engineering (Python, TypeScript, APIs). </li><li>Experience designing MCP servers, external system integrations, and utilizing AI evaluation/tracing tools. </li><li>Proficiency with React and modern frontend tooling to create clean, trustworthy user interfaces. </li></ul>Problem Solving & Communication <ul><li>Excellent communication and demo skills; proven ability to present complex AI concepts in a clear, grounded, and value-driven manner to both mission leaders and technical stakeholders. </li><li>Exceptional ability to move from ambiguity to clarity quickly. </li><li>Bias toward action and iteration; comfortable working in a fast-paced environment with evolving product offerings and shipping imperfect but compelling MVPs fast. </li></ul>Education & Experience <ul><li>6-8+ years of experience in sales engineering, applied AI, hands-on technical consulting, customer-facing software engineering, or technical product roles. </li><li>Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). An advanced degree in AI/ML is a plus. </li><li>Prior experience applying AI or complex software solutions within the Oil & Gas industry is a strong plus. </li><li>Ability to travel up to 25% on average to customer meetings, workshops, industry conferences, and events. </li></ul>The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: <ul><li>Wow Our Customers</li><li>Set High Standards</li><li>Be Better Than Yesterday</li><li>Be Rigorous</li><li>Assume Positive Intent</li><li>Have the Tough Conversations</li><li>Be Better Together</li><li>Debate, Decide, Commit</li><li>Deliver Results</li><li>Overcommunicate</li></ul> Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.  DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information. Use of Artificial Intelligence in Our Hiring Process DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. </div>

Bayt

Forward Deployment Engineer (m/f/d)

On-site - UAE Saturday

Telecom & Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> We are building a world-class, in-house AI engineering capability to create and scale enterprise AI solutions for complex operational environments. We build, own, and continuously evolve our AI products rather than relying on off-the-shelf solutions. As a Forward Deployed AI Engineer, you will define the technical direction for an AI squad embedded within the business. Working closely with stakeholders, you will understand business challenges and their underlying drivers, then design, build, deploy, and operate agentic AI systems that deliver measurable outcomes. This is a highly hands-on, build-first role with end-to-end ownership of real business outcomes. You will partner with Business Product Owners and AI Value Architects while leveraging a shared AI platform, standards, and integration frameworks that enable teams to innovate rapidly and independently. Key Accountabilities & Responsibilities Understand Before You Build Begin every initiative by understanding the business problem, objectives, and desired outcomes. Partner directly with stakeholders and lead solutions from discovery through production deployment. AI Solution Development <ul> <li>Design, build, deploy, and continuously improve enterprise-grade agentic AI applications using agentic development practices as the primary engineering approach. </li><li>Develop AI agents capable of multi-step reasoning, tool and API orchestration, context management, exception handling, and human-in-the-loop workflows at enterprise scale. </li><li>Design and implement Retrieval-Augmented Generation (RAG) solutions, including data ingestion, chunking strategies, embeddings, vector search, retrieval optimization, grounding, and source traceability. </li><li>Build integrations using Model Context Protocol (MCP) and connect AI systems to enterprise platforms through REST APIs, OpenAPI specifications, webhooks, and event-driven architectures. </li><li>Create reusable, self-service AI services and interfaces that can be leveraged across multiple business domains. </li><li>Apply structured LLM engineering practices, including tool calling, schema validation, retries, fallbacks, and guardrails. </li></ul> Quality, Reliability & Governance <ul> <li>Own solution quality from inception through operation, including testing, evaluation, observability, logging, version control, and continuous feedback mechanisms. </li><li>Optimize reliability, accuracy, performance, security, latency, and cost across deployed AI solutions. </li><li>Ensure compliance with security, privacy, access controls, auditability, responsible AI principles, and governance requirements. </li></ul> Technical Leadership <ul> <li>Take ownership of business outcomes within a specific domain, ensuring successful delivery and measurable impact. </li><li>Establish reusable patterns, frameworks, and engineering standards that strengthen internal AI capabilities. </li><li>Collaborate effectively with Product Owners, AI Architects, and engineering teams, while challenging assumptions and identifying when AI is not the appropriate solution. </li><li>Define technical direction, architecture standards, and strategic build-versus-buy decisions for AI initiatives. </li><li>Design multi-agent systems, agent-to-agent communication patterns, and evaluation frameworks that ensure robustness and scalability. </li><li>Lead engagements with external AI technology providers and partners while maintaining a strong focus on internal capability development. </li><li>Mentor engineers, conduct technical reviews, and raise engineering standards across quality, security, and cost optimization. </li></ul> Education & Experience We are seeking a technical leader who combines deep engineering expertise in agentic AI with strong business acumen and a hands-on delivery mindset. Core Requirements <ul> <li>Demonstrated curiosity and a passion for understanding complex business and operational challenges. </li><li>Strong business-first, human-centered approach, recognizing that AI augments people rather than replacing them. </li><li>Excellent communication skills in English and experience working within diverse, international teams. </li><li>8+ years of experience building production-grade software, including: <ul> <li>4+ years working with Generative AI, Large Language Models (LLMs), or applied Machine Learning. </li><li>At least 1 year of hands-on experience designing and deploying agentic AI solutions. </li><li>Proven success setting technical direction and delivering AI solutions at scale. </li></ul> </li><li>Hands-on experience or strong working knowledge of Model Context Protocol (MCP) for connecting AI agents with systems, tools, APIs, and data sources. </li><li>Strong Python programming skills and expertise in at least one of the following: <ul> <li>TypeScript / JavaScript </li><li>Java </li><li>C# </li></ul> </li><li>Strong understanding of modern engineering practices, including asynchronous programming, FastAPI, Pydantic, CI/CD, testing strategies, source control, logging, and error handling. </li><li>Experience with at least one agent framework or enterprise AI platform, such as: <ul> <li>LangGraph </li><li>Semantic Kernel </li><li>CrewAI </li><li>AutoGen </li><li>OpenAI Agents SDK </li><li>Microsoft Foundry </li><li>Amazon Bedrock AgentCore </li><li>Google Vertex AI / Gemini </li></ul> </li><li>Experience with vector databases and search platforms such as: <ul> <li>Azure AI Search </li><li>pgvector </li><li>Pinecone </li><li>Weaviate </li><li>OpenSearch </li></ul> </li><li>Experience integrating enterprise systems through APIs, managed identities, middleware, webhooks, messaging queues, and cloud-native architectures. </li><li>Practical experience deploying solutions in cloud environments using containers, monitoring, and observability platforms. </li><li>Strong judgment regarding trade-offs between quality, latency, reliability, security, governance, and cost. </li></ul> Desirable Experience <ul> <li>Experience in aviation, transportation, logistics, supply chain, cargo operations, customer service operations, or other complex operational environments. </li><li>Background in classical machine learning, data science, or advanced analytics. </li><li>Experience across full-stack software development, including front-end, API, and back-end engineering. </li></ul> Preferred Experience <ul> <li>Designing AI agents for enterprise-scale operational workflows. </li><li>Voice AI, email automation, CRM integrations, workflow automation, or multilingual AI solutions. </li><li>Building evaluation frameworks, golden datasets, simulation-based testing, regression testing, and AI quality measurement systems. </li><li>Designing multi-agent architectures, agent registries, and tool orchestration standards. </li><li>Leading delivery with external AI platforms, startups, or technology vendors while developing internal engineering teams and capabilities. </li></ul> Education <ul> <li>Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical field; or equivalent practical experience. </li><li>Relevant certifications in Cloud AI, Generative AI, Agentic AI, MLOps, or related disciplines are advantageous. </li></ul> </div>

Bayt

Murex FO Consultant - Structured Products

On-site - UAE 13 August 2026

Accounting, Finance & Banking

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Project description The Murex FO will be required to be part of GM IT FO Squad responsible to provide IT services to Global Markets team. The squad is responsible for support, change request and projects pertaining to Global Markets. Key responsibilities of the role include providing level 1 / level 2 trading floor support to traders and control groups Responsibilities Support traders, middle office users on daily issues including PL / position mismatches / market data, mkt operations, etc. Configure curves (rate, rate hedge, credit) and static data including securities, generators, indices, currencies, vol surface, portfolios, user groups, access rights etc., in Murex. Write new pre trade rules, create / amend lookup tables / simulation views / e-tradepad strategies / Live Book views. Work on Patch upgrades / version upgrades testing to reconcile any PL / Greeks issue & avoid any regressions. Reporting on progress on issues / showstoppers to manager and other stakeholders Assist in developing business and operational processes and to participate in developing system training artefacts when required Gather, analyze, and document business requirements for Structured Products and Exotic Derivatives across Interest Rate, Equity, FX, Credit, and Hybrid asset classes. Lead Murex payoff activation and implementation activities for complex structured products including Range Accruals, Callable Interest Rate Swaps, Bermudan Swaps, Equity Autocallables, Reverse Convertibles, Snowballs, Barrier Products, Target Redemption Notes (TARNs) and other non-linear derivatives. Coordinate with Front Office traders, Structuring teams, Quantitative Analysts, Market Risk, Product Control, Operations, and Finance teams to ensure accurate product configuration and lifecycle management. Act as the primary liaison between the bank and external vendors including Murex and Numerix for implementation, pricing model validation, payoff activation, bug fixes, and enhancement requests. Analyze product pricing requirements and collaborate with Quant teams to validate pricing models, market data dependencies, risk sensitivities (Greeks), calibration methodologies, and valuation adjustments. Coordinate implementation of new pricing models, payoff templates, model parameterization, and market data requirements within Murex. Manage end-to-end testing for structured products including trade booking, pricing validation, lifecycle events, risk calculations, P&L explain, limit monitoring, settlement generation, accounting impact, and regulatory reporting considerations. Support model and payoff validation exercises by reconciling Murex valuations against vendor systems, market benchmarks, independent quant libraries, or Numerix calculations. Work closely with Murex and internal development teams to troubleshoot valuation discrepancies, performance issues, simulation inconsistencies, and risk calculation anomalies. Prepare functional specifications, business requirement documents, test cases, and implementation documentation for new structured product initiatives. Participate in product approval processes and support onboarding of new products by ensuring operational readiness and front-to-back process alignment Skills Must have 8-15 years of total of working experience, including 5 -10 years of experience in Murex FO. Extensive experience in setting up and validating Interest rate curves including for ARRs. Expertise in multiple asset classes (at least 2 of the following) such as IR vanilla and exotic derivatives, Equity Derivatives, Commodity Derivatives, FX Derivatives, Structured Products Credit Derivatives, FIMM (Fixed Income, / Money Market). Expertise in terms of pricing, valuation, risk management and sensitivities including for exotic products. Strong exposure to FO Modules of Murex E-Tradepad, Simulation, Livebook, RTPM, Pre-Trade Workflow, Market Data, Dynamic Tables, P&L Notepad, FDI Templates, Blotters, Risk Matrices etc. Experience in implementation and supporting Murex v3.1 with regards to front office capabilities Excellent knowledge of Capital Markets products and processes, front to back. Experience on implementation of both linear and non-linear products in Murex Strong analytical and problem-solving skills accompanied with excellent communication Extensive experience supporting and implementing Structured Products and Exotic Derivatives within Murex. Strong understanding of pricing, valuation, lifecycle events, and risk management of: Interest Rate Range Accruals Callable and Bermudan Swaps CMS-based Structures Equity Autocallables Reverse Convertibles Hybrid and Cross-Asset Structured Products Experience activating and configuring exotic payoffs within Murex and working with associated pricing models and market data requirements. Strong understanding of quantitative finance concepts including: Monte Carlo Simulation Trees and Lattice Models Stochastic Interest Rate Models Local/Stochastic Volatility Models Correlation and Hybrid Model Frameworks Sensitivity Analysis and Risk Attribution Proven experience working directly with Quantitative Analysts, Structuring Desks, Murex Professional Services, and third-party valuation providers such as Numerix. Experience validating exotic derivative pricing, Greeks, calibration parameters, volatility surfaces, correlation surfaces, and yield curve frameworks. Experience with model governance, model validation, product approval processes, and regulatory requirements affecting structured products. Demonstrated ability to manage complex implementations involving multiple stakeholders across Front Office, Risk Management, Quant teams, Operations, Finance, and external vendors. Strong record of stakeholder management and leadership skills Strong understanding of the financial markets, trading, and banking solutions Strong knowledge of the Global Markets products and practices, front-to-end: pricing, limit checks, booking, risk management, accounting generation, settlements, and confirmation generation Candidate must be technically astute and have had relevant exposure and experience with bank systems and processes. Strong proven track record of liaising with stakeholders for business requirements, specification documents, testing processes and other relevant information. Strong numerical skills coupled with the ability to deliver well under pressure and tight deadlines. Candidate must display strong verbal and written communication skills. Exposure to Murex Model Factory and Pricing Framework. Experience with Numerix model libraries and structured product valuation methodologies. Strong capability to perform valuation reconciliations between Murex, Numerix, Bloomberg, Reuters, or internal pricing engines. Nice to have Knowledge of Python, SQL, or scripting languages used for pricing validation and reconciliation Other Languages English: C1 Advanced Seniority Senior </div>

Bayt

Software Developer/Trainer

Remote - UAE 22 July 2026

Information Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Date Posted: 2026-07-21&#xa;&#xa;Country: United Arab Emirates&#xa;&#xa;Location: AE-UNITED ARAB EMIRATES-CLIENT SITE ~ United Arab Emirates Remote ~ (External Site)&#xa;&#xa;Position Role Type: Onsite At RTX, the world's largest aerospace and defence company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defence industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defence. Collins Aerospaceis seekinga Software Developer/Trainer able to support a three (3) month initiation and training period in the UK followed by a four (4) year assignment in Abu Dhabi,United Arab Emirates (UAE).  This position is in support of along-termcommunications systems modelling and simulation(M&S)laboratoryand academicsprogram. Candidates must ensure their resumesincludessufficient detail todemonstratealignment with the job requirements, including relevant academic and technical qualifications, and experience. As this role is primarily based in the UAE, the candidate must successfully complete all requiredbackgroundand pre-hire immigration checks and be eligible to obtain the right to work andresidein the country. The company will support the candidate through the relevant application process. Due to the nature of the program to remain ITAR free this position is NOT available to US candidates. Role Overview: The Collins AerospaceSoftware Developer/Trainershallsupport the followingspecific areas: <ul><li>Conduct trainingfor the Connected Battlespace Lab (CBL) Foundations Course  </li><li>Providesoftware development subject matterexpertise(SME) supporting the CBL laboratories  </li><li>Support the installation of the Connected Battlespace Lab (CBL) at a UAE site </li><li>ConductaTraining Needs Analysis (TNA) and the design/development of theknowledge transfer andmentoring program for theUAE CBL </li><li>Teach select courses in software development  </li><li>Facilitateknowledge transferto CBL Emirate personnel through co-development of softwareand mentoringduring on-the-job-training (OJT)  </li></ul> Primary Responsibilities: <ul><li>Teach software development related topics as part of the CBL Foundations Course  </li><li>Provide students’ academic support and mentoring to ensure successful completion of the course  </li><li>Assess students’ understanding of software development topics andevaluatetheirproficiency </li><li>Support the Instructional Systems Design process todevelop andimprove the course  </li><li>Perform in-lab software development alongside Emirati CBL Foundations Course graduates  </li><li>Conduct OJT and mentoring of junior software developers to improve theirproficiency </li><li>Modify/create software applications supporting M&S activities  </li><li>Write/use scripts, artificial intelligence (AI) agents, and other code to support M&S objectives  </li><li>Learn/write/use Ansys, MATHLAB, and other M&S programming languages  </li><li>Stand-up /maintaina Continuous Integration (CI) / Continuous Development (CD) pipeline  </li><li>Review and advise on software development policies and procedures  </li><li>Work with reach-back support engineers and SMEs to gain andmaintainexpertisein CBL Foundations Coursetopicsand co-developmenttechnical areas  </li><li>Other related duties asrequired(e.g., document M&S Software Engineer (MSSE)apprentices’ qualifications, perform software upgrades/maintenance, etc.)  </li></ul> Essential Qualifications and Experience You Must Have: <ul><li>Bachelor's Degree in software development </li><li>NativeEnglishspeaker or advancedproficiencyin English  </li><li>15+ years of software development using an agile developmentmethodology </li><li>Certificationin C++, Java, JavaScript, Python, Bash etc.  </li><li>Valid passport (or ability to get one) </li><li>Ability toattainimmigration and work permit authorisationforAbu Dhabi, UAE for four (4) years </li><li>Eligibility to access UAE Ministry of Defence (MOD) locations  </li><li>Qualified trainerin CollinsAerospaceor to a recognised standardexternally </li></ul> Qualifications and Experience We Prefer: <ul><li>Modelling&Simulationexperience </li><li>Mission Thread developmentexperience </li><li>Experience in the Middle East or working with native Arab cultures  </li><li>Military experience or military related programs </li><li>Experience with communications systems (i.e., datalinks, networks, radios, etc.) </li><li>Experience with networking, cloud applications, and web libraries  </li><li>Experience with model development and integrating commercial off the shelf (COTS) software with purpose-built software to perform and evaluate simulations </li><li>Understanding of RTX Collins Aerospace and its policies/procedures </li></ul> Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.] Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Privacy Policy and Terms: Click on this link to read the Policy and Terms </div>

Bayt

AI Tester

On-site - UAE 12 June 2026

Construction & Real Estate

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations. At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world. The AI Tester is a specialized, senior-level quality engineering position within the Testing work pillar. This role is responsible for driving end-to-end quality assurance, test automation strategy, and advanced validation frameworks across complex web interfaces, microservice APIs, and cutting-edge, AI-driven systems. Operating at the intersection of traditional software testing and advanced machine learning engineering, this position focuses heavily on validating distributed backend architectures, streaming data workflows, and Generative AI/LLM outputs to ensure exceptional systemic reliability, accuracy, and performance. Your responsibilities as the AI Tester include: Designing, building, and maintaining scalable, robust end-to-end automation frameworks from scratch, utilizing Playwright as the primary automation engine across web interfaces. Authoring and executing comprehensive API testing suites to validate distributed microservices, ensuring strict data integrity, state consistency, and schema compliance. Designing validation strategies for asynchronous, event-driven data architectures, tracking messages and auditing system behaviors across Kafka-based streaming pipelines. Establishing specialized testing methodologies to evaluate Generative AI and Large Language Model (LLM) outputs, assessing models for hallucination, bias, semantic accuracy, and safety constraints. Managing, curating, and version baseline prompt validation datasets and ground-truth test collections to ensure consistent benchmarking of AI system performance. Partnering closely with AI research engineers, product owners, and DevOps squads to integrate automated testing gates directly into modern CI/CD deployment pipelines. As an AI consultancy, our greatest asset is the expertise of our people. While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders. If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. The benefits you'll enjoy as part of this role include: Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individual Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions. Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates. If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions. We need you to have: Advanced technical capability in building automated test suites using Playwright, combined with deep proficiency in testing RESTful and gRPC APIs. Practical knowledge of utilizing specialized AI quality tools and observability platforms such as Ragas, LangSmith, or TruLens to score and evaluate model responses. A strong technical comprehension of microservices communication patterns, database transactions, and data integrity verification across distributed environments. Advanced coding proficiency in TypeScript, JavaScript, or Python to write clean, modular, and maintainable test scripts. Competence in interacting with event streaming platforms (Kafka or Azure Event Hubs) to produce, consume, and validate asynchronous message payloads. A minimum of 6 years of experience in dedicated software quality engineering, test automation, or SDET roles, with a proven focus on modern automated architectures. A documented history of validating complex enterprise workflows that rely heavily on Kafka message queues, event sourcing, or real-time data pipelines. Hands-on experience executing tests and navigating application workloads containerized via Docker and orchestrated within Kubernetes clusters. Practical experience integrating automated test definitions, smoke suites, and regression testing gates directly into enterprise delivery setups (e. g., GitHub Actions, Azure DevOps). It would also be great if you have: Conceptual or practical familiarity with the unique data privacy, regulatory security compliance requirements, and risk environments of banking applications. Experience utilizing performance testing utilities (such as k6, JMeter, or Locust) to evaluate API latency and system threshold capacities under stress. A basic understanding of the broader Machine Learning Lifecycle, model registry operations, and automated dataset versioning practices (e. g., DVC). </div>

Full Time 0 to 0 years LinkedIn

Environmental Research Manager

Remote - UAE - Dubai 17 August 2026

Information Technology

???????? We're Hiring: Environmental Research Manager???? Location: United Arab Emirates (UAE) ???? Employment Type: Full-Time ???? Level: Mid-Level to Senior Management???? About UsWe are an environmental research and sustainability-focused organization committed to advancing science-based solutions for the UAE's unique ecosystems, climate, water resources, and environmental challenges. Through applied research, environmental monitoring, data analysis, field studies, and collaboration with government, academic, and industry partners, we support evidence-based environmental management and sustainable development. We value scientific excellence, environmental stewardship, innovation, data integrity, collaboration, and measurable impact.???? The Role We are seeking an experienced Environmental Research Manager to lead multidisciplinary environmental research programs, scientific studies, field investigations, monitoring initiatives, and applied research projects. The successful candidate will manage researchers, scientists, consultants, laboratories, and external partners while translating scientific findings into practical environmental policies, strategies, and management solutions. This role is ideal for professionals with experience in environmental science, ecology, environmental engineering, marine science, biodiversity, climate research, environmental monitoring, or sustainability research.???? What You'll DoDevelop and implement an environmental research strategy aligned with organizational and national sustainability objectives Lead multidisciplinary research programs addressing environmental priorities in the UAEIdentify emerging environmental issues, research gaps, and opportunities for scientific investigation Develop research proposals, scopes of work, methodologies, budgets, schedules, and project plans Lead environmental field studies, surveys, sampling programs, laboratory investigations, and monitoring initiatives Manage research covering air quality, water resources, soil, marine environments, biodiversity, ecosystems, climate, pollution, and environmental health as applicable Design and implement environmental monitoring programs and long-term datasets Establish scientific methodologies, quality-control procedures, sampling protocols, and data-management standards Analyze environmental datasets and identify trends, patterns, risks, and emerging environmental conditions Use statistical analysis, GIS, remote sensing, modeling, and other scientific tools to support research Evaluate environmental impacts associated with development, infrastructure, industrial activities, and climate change Conduct research into ecosystem resilience, habitat conservation, biodiversity, and environmental restoration Support climate-change research, including impacts on temperature, rainfall, drought, coastal environments, biodiversity, and water resources Develop research programs addressing environmental risks specific to arid and coastal environments Coordinate laboratory testing, environmental sampling, ecological surveys, and specialist technical studies Ensure scientific data is accurate, traceable, reproducible, and appropriately documented Review scientific reports, research papers, datasets, technical assessments, and environmental models Translate complex scientific findings into practical recommendations for management and decision-making Prepare technical reports, research publications, policy briefs, presentations, and executive recommendations Support environmental policy, sustainability strategies, conservation plans, and regulatory initiatives with scientific evidence Collaborate with government agencies, universities, research institutions, environmental organizations, industry partners, and international experts Develop strategic research partnerships and collaborative scientific programs Manage external researchers, consultants, laboratories, universities, and specialist service providers Identify funding opportunities and support grant applications, research proposals, and partnership agreements Monitor research budgets, schedules, milestones, risks, and scientific deliverables Establish research KPIs and performance indicators Maintain appropriate environmental research databases, repositories, GIS systems, and scientific records Evaluate emerging technologies such as AI, environmental sensors, satellite imagery, drones, digital twins, automated monitoring, and advanced environmental modeling Develop innovative approaches for environmental monitoring and predictive environmental assessment Ensure research activities comply with applicable UAE environmental, scientific, ethical, health, safety, and regulatory requirements Coordinate permits, approvals, sampling authorizations, and regulatory requirements where applicable Establish research quality-assurance and peer-review processes Promote scientific integrity, ethical research practices, and responsible data management Lead and mentor environmental scientists, researchers, field specialists, analysts, and technical staff Present research findings to senior management, government stakeholders, scientific committees, and external partners Represent the organization at scientific conferences, workshops, technical committees, and industry forums Identify opportunities to convert research findings into practical environmental improvements Drive continuous improvement in environmental research capabilities, scientific quality, innovation, and impact✅ What We're Looking For Bachelor's degree in Environmental Science, Environmental Engineering, Ecology, Biology, Marine Science, Earth Sciences, Natural Resources Management, or a related field5–10+ years of experience in environmental research, scientific programs, environmental consulting, monitoring, or applied environmental science Proven experience managing multidisciplinary environmental research projects and technical teams Strong knowledge of environmental science, field research, data analysis, and environmental monitoring Experience developing research methodologies, technical reports, budgets, and project plans Strong analytical and scientific problem-solving skills Experience working with government, academic, industry, or research stakeholders Excellent scientific writing, communication, presentation, and stakeholder-management skills Strong understanding of the UAE environmental and ecological context is highly desirable???? Preferred Qualifications Master's degree or PhD in Environmental Science, Ecology, Marine Biology, Environmental Engineering, Climate Science, Conservation Biology, or a related discipline Published scientific research, peer-reviewed papers, technical reports, or demonstrated research leadership Professional certifications in environmental management, sustainability, GIS, data science, or related fields Strong proficiency with Arc GIS, QGIS, remote sensing, statistical software, Python, R, or environmental modeling tools Experience with environmental models such as hydrological, air-quality, ecological, climate, coastal, or dispersion models Knowledge of ISO 14001, environmental impact assessment, environmental monitoring, biodiversity assessment, and environmental-management systems Experience with marine and coastal research, desert ecosystems, biodiversity conservation, or arid-land environmental management Knowledge of UAE and emirate-level environmental legislation and regulatory requirements Experience working with UAE environmental authorities, universities, research institutions, or conservation organizations Previous experience working across the UAE and GCC is an advantage Experience managing large-scale environmental research programs or international collaborations is highly desirable Fluency in English is required; Arabic is an advantage???? What We Offer Full-time position based in the United Arab Emirates ????????Competitive salary and performance-based incentives Opportunity to lead high-impact environmental research programs Exposure to major UAE conservation, sustainability, climate, water, biodiversity, and environmental initiatives Collaboration with leading scientists, universities, government agencies, and international research organizations Access to advanced environmental monitoring, GIS, remote-sensing, and analytical technologies Professional development and scientific leadership opportunities Research-driven and environmentally focused working environment Leadership and career development opportunities Comprehensive benefits package

Full Time 0 to 0 years

Solutions Architect

On-site - UAE - Dubai 2 August 2026

Accounting, Finance & Banking

Location: Remote/SF-Hybrid Full-Time About Andromeda Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers. We began with a single managed cluster — but it filled almost instantly. Since then, we’ve been quietly building the systems, network, and orchestration layer that makes the world’s AI infrastructure more accessible. Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it’s needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth. Our long-term vision is to build the liquidity layer for global AI compute. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering. The Role We're hiring our first Solutions Architect to own the technical side of our largest customer engagements. You will be the technical face of Andromeda to frontier labs and enterprises evaluating Andromeda to train and serve their models, as well as the advocate for those customers after they sign. You'll own your accounts end-to-end. You run the technical discovery and the POC that wins the deal, then you're the person who lands the cluster, gets the first real training run through it, and stays the technical owner as the account grows. No handoff to a stranger at signature. The architecture you promised in the evaluation is the architecture you're accountable for in production. You are the person in the room who can go from a CTO's roadmap to an interconnect topology without losing either audience. This is greenfield. There's no SA playbook here yet; no demo environment, no evaluation template, no onboarding runbook, no reference architectures. You'll build them, and they'll become how Andromeda works with customers for years. If you've been the person who quietly built all of that at your last company and want to do it on purpose this time, this is that role. What You’ll Do Win the technical evaluation Partner with Sales to qualify opportunities, lead technical discovery, and scope evaluations against the customer's real success criteria — not a generic checklist. Design cluster and workload architectures that map to business outcomes: time-to-first-token, tokens/sec, MFU, cost per training run, reliability targets. Own POCs end-to-end — scope, benchmarks, success metrics, timeline, stakeholder alignment. Land it and grow it Take customers from signature to first successful production training run: provisioning, environment setup, validation benchmarks, and the unglamorous debugging in between. Serve as the named technical owner for your accounts after launch. You’re responsible for architecture reviews, capacity planning, performance and cost optimization, and technical workload reviews. Spot expansion before the customer asks: where they're capacity-constrained, what's coming on their roadmap, and what it will take to serve it. Build the function Create the assets the SA team runs on: demo environments, benchmarking harnesses, reference architectures, onboarding runbooks, evaluation playbooks, and competitive material. Be the highest-signal feedback loop into Product, Engineering, and Research — recurring gaps, competitive losses, and what customers actually ask for once they're in production. What We’re Looking For 5+ years in customer-facing technical roles, including 2+ years in pre-sales (Solutions Engineer, Sales Engineer, Solutions Architect, or specialist SA). Direct experience selling or supporting GPU compute at a neocloud or GPU provider, or as an AI/HPC specialist at a hyperscaler or NVIDIA. Demonstrated ability to take a customer from evaluation into production and stay accountable for the outcome. Real fluency in large-scale training and inference: distributed training frameworks, multi-node topologies, Infini Band/RoCE, storage and checkpointing, and where these break at scale. Comfort with Kubernetes and SLURM as scheduling environments customers actually run in. Enough Python to build a benchmark, a prototype, or an API integration yourself rather than waiting on engineering. A track record of owning technical evaluations in complex, multi-stakeholder deals and changing the outcome. Exceptional communication, able to hold a deep conversation with a distributed systems engineer and a CFO. Strong Candidates May Have Experience with frontier labs or AI-native companies as customers. Performance benchmarking, MFU analysis, or total-cost-of-training modeling. Having been the first or earliest SE somewhere. What Success Looks Like POCs convert reliably because evaluations are well-scoped, technically credible, and tied to customer ROI. Customers reach their first production training run fast, and what they saw in the POC is what they get. Accounts grow because you saw the constraint coming before the customer raised it. The assets you build let the next five SAs ramp in weeks instead of quarters. Why You’ll Love It Here High-growth environment: Get in early at a company at the center of the AI infrastructure boom Competitive compensation: + meaningful equity Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Solutions Architect Location: Remote/SF-Hybrid Full-Time What Success Looks Like POCs convert reliably because evaluations are well-scoped, technically credible, and tied to customer ROI. Customers reach their first production training run fast, and what they saw in the POC is what they get. Accounts grow because you saw the constraint coming before the customer raised it. The assets you build let the next five SAs ramp in weeks instead of quarters. Why You’ll Love It Here High-growth environment: Get in early at a company at the center of the AI infrastructure boom Competitive compensation: + meaningful equity Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Full Time 0 to 0 years

Staff IoT Solutions Engineer

On-site - UAE - Abu Dhabi Emirate 26 July 2026

Information Technology

Company Qualcomm Engineering FZ LLC Job Area Engineering Group, Engineering Group > Systems Engineering General Summary About Qualcomm IE‑IoT Qualcomm is a global leader in connected intelligent edge platforms, delivering solutions that combine high‑performance compute, connectivity, and AI across industries including industrial automation, smart cities, energy, and public sector. The Industrial & Embedded IoT (IE‑IoT) business unit enables secure, scalable, low‑latency intelligence across on‑device, on‑premises, and hybrid cloud deployments. About The Role The Staff / Senior Staff IoT Solutions Engineer is a senior, hands‑on technical role responsible for architecting, developing, and delivering IoT and Edge AI solutions built on Qualcomm platforms. This role operates at the intersection of solution engineering, customer engagement, product collaboration, and ecosystem integration, supporting repeatable solution patterns that accelerate customer adoption across multiple verticals. The role combines customer-facing technical leadership with hands‑on prototyping and system validation, serving as a trusted technical contributor and advisor for strategic customers and regional solution engagements. Key Responsibilities Will Include Solution Architecture & Technical Execution Contribute to and implement IoT and Edge AI solution blueprints for priority verticals. Architect and deliver end‑to‑end solutions spanning on‑device AI, gateways, edge servers, connectivity, and hybrid cloud integration. Develop reference architectures, design guides, and deployment playbooks in collaboration with internal teams. Ensure solutions meet production requirements for performance, latency, power, thermals, security, and scalability. Customer & Partner Engagement Act as a technical lead for customer engagements, supporting projects from discovery through PoC, pilot, and early production. Translate customer business use cases and KPIs into practical, system‑level technical designs. Support customer architecture reviews and technical roadmap discussions. Collaborate with OEMs, ISVs, system integrators, and cloud partners to validate end‑to‑end solutions. Support regional PoCs, pilots, and commercial solution launches. Hands‑On Prototyping & Validation Lead and execute system bring‑up, prototyping, benchmarking, and validation on Qualcomm platforms. Integrate workloads such as:Computer vision and video analytics AI/ML inference (CNNs, multimodal models, selected Gen AI inference workloads) IoT gateway applications and industrial data pipelines Profile and optimize solutions across latency, throughput, accuracy, power, thermal behavior, and cost. Hybrid Edge AI Architecture Design and implement distributed AI architectures across on‑device, on‑prem edge, and cloud environments. Enable offline/online operation, secure connectivity, observability, and fleet/device management patterns. Support enterprise integration requirements including data security and operational monitoring. Cross‑Functional Collaboration Partner closely with Product Management, Platform HW/SW teams, Performance teams, and Customer Engineering. Provide feedback from customer deployments to help improve platform features, SDKs, and solution readiness. Represent Qualcomm in customer workshops, technical reviews, and selected industry events. Technical profile that we are looking for Required Strong system‑level understanding of IoT, embedded systems, and Edge AI deployments. Hands‑on software experience in Python and/or C/C++. Experience with Embedded Linux and modern application packaging (e.g., containers). Familiarity with AI frameworks and runtimes such as PyTorch, Tensor Flow, ONNX, and deployment‑oriented inference workflows. Background in computer vision, video analytics, or edge AI inference. Working knowledge of connectivity technologies including Ethernet, Wi‑Fi, Bluetooth, LTE/5G. Experience with multimedia frameworks (Android, Linux, Tizen, any other OS). Gstreamer experience a plus. Preferred Experience delivering customer‑facing IoT or Edge AI solutions that moved beyond PoC to pilot or production. Exposure to one or more verticals such as industrial automation, smart cities, public sector, energy, logistics, or retail. Experience working with hybrid edge/cloud architectures. Comfortable communicating technical concepts to architect‑, engineering‑, and director‑level audiences. What's On Offer Apart from working with great people, we offer the below: Salary including housing & transport allowance Stock (RSU's) and performance related bonus16 weeks fully paid Maternity Leave6 weeks fully paid Paternity Leave Employee stock purchase scheme Child Education Allowance Relocation and immigration support (if needed) Life and Medical Insurance Live+ Well Reimbursement for health and recreational membership fees Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

0 to 0 years Bayt

Lead Software Developer

On-site - UAE 27 June 2026

Information Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Technology Innovation Institute (TII) is a publicly funded research institute, based in Abu Dhabi, United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead. Role Overview We are seeking a Lead Software Developer to lead the development, integration, and delivery of embedded software solutions for autonomous systems. This is a hands-on technical leadership role that combines software architecture, development, system integration, mentoring, and cross-functional collaboration. The successful candidate will actively contribute to software implementation, debugging, and integration activities while guiding the engineering team to deliver secure, reliable, and high-quality products throughout the product lifecycle.  Industry / Domain Autonomous UAV Systems / Embedded Security  Key Responsibilities <ul><li>Lead the design, development, integration, and validation of embedded flight software for autonomous and safety-critical systems. </li></ul> <ul><li>Lead the integration of platform security features and secure software deployment mechanisms. </li></ul> <ul><li>Lead software development, debugging, code reviews, and system integration activities. </li></ul> <ul><li>Provide technical leadership, mentorship, and support to engineering teams throughout the development lifecycle. </li></ul> <ul><li>Drive platforms bring-up, software integration, validation, and release activities. </li></ul> <ul><li>Collaborate with hardware, systems, security, test, manufacturing, and DevOps teams. </li></ul> <ul><li>Support Git workflows, CI/CD pipelines, build automation, release management, and configuration control. </li></ul> <ul><li>Ensure software quality, reliability, maintainability, and compliance with engineering standards and processes. </li></ul> <ul><li>Comfortable making architecture decisions and representing the software team to stakeholders and customers </li></ul> Experience <ul><li>15+ years in embedded software; 8+ years in flight controller, autopilot, or safety-critical avionics. </li></ul> <ul><li>Proven track record leading embedded software teams and delivering products to production. </li></ul> Technical and Leadership Skills <ul><li>Strong proficiency in C/C++ for real-time embedded systems and Python for tooling and test automation. </li></ul> <ul><li>Strong Autopilot stack expertise (e.g., PX4) and MAVLink/GCS integration (QGroundControl or similar). </li></ul> <ul><li>Experience with RTOS (e.g., NuttX) and embedded Operating system environments.: scheduling, POSIX, IPC, memory protection, drivers on ARM Cortex. </li></ul> <ul><li>Experience in Embedded security: ARM TrustZone, OP-TEE, trusted firmware, secure boot chains, eFUSE/OTP. </li></ul> <ul><li>Peripheral and build know-how: CAN-FD/SPI/I2C/UART </li></ul> <ul><li>Secure coding (MISRA C, SEI CERT), cryptography (TLS, AES/RSA/ECC), PKI/key management. </li></ul> <ul><li>Proficient with Git workflows (branching, pull requests, code reviews) and collaborative development. </li></ul> <ul><li>DevOps understanding: CI/CD pipelines (e.g., GitLab CI, Jenkins, GitHub Actions), automated build/test, and release management for embedded firmware. </li></ul> <ul><li>Working knowledge of MATLAB or similar tools for test automation, data analysis, and validation workflows </li></ul> <ul><li>Excellent written and verbal communication; able to mentor engineers and lead cross-functional technical discussions. </li></ul> <ul><li>Comfortable making architecture decisions and representing the software team to stakeholders. </li></ul> Education and Certification Requirements <ul><li>Bachelor’s in computer science, Electrical, or Aerospace Engineering (Master's/PhD preferred). </li></ul> <ul><li>Safety-critical software certifications (DO-178C, ISO 26262); MATLAB for test and validation workflows. </li></ul> At TII, we help society to overcome its biggest hurdles through a rigorous approach to scientific discovery and inquiry, using state-of-the-art facilities and collaboration with leading international institutions. Our rigorous discovery and inquiry-based approach helps to forge new and disruptive breakthroughs in advanced materials, autonomous robotics, cryptography, digital security, directed energy, quantum computing and secure systems. </div>

Full Time 0 to 0 years

Junior Web Developer

On-site - UAE - Dubai 21 June 2026

Engineering

Pay: Up to 6,000.00 AED per month- Please do not apply if this does not meet your salary requirements. About Feynlab Feynlab is a global innovator in surface protection technology headquartered in Chicago, USA, with operations across multiple international locations. Leveraging cutting-edge nanotechnology, our products serve a range of industries including automotive, industrial, marine, and architectural. Our mission is to deliver technically advanced, results-driven solutions backed by exceptional service, continuous improvement, and long-term partnership success. Role Overview The Junior Web Developer supports the technical development and maintenance of Feynlab's websites and internal web-based tools, working under the direction of the Web Developer & IT Support Lead. This is a hands-on role with real ownership of tasks from day one. The ideal candidate is technically capable, eager to learn, takes initiative, and is comfortable working across multiple functions in a fast-moving international company. This role is part of a small, high-accountability team. The expectation is not just to complete tasks but to understand them, document the work, and flag issues early. Independent thinking and problem-solving are valued as much as technical skill. Key Responsibilities Website Development & Maintenance Build and update web pages, landing pages, web features, and plugins as directed Maintain and improve existing Feynlab websites across all regions Troubleshoot and resolve website bugs, broken links, and performance issues Ensure websites are functional, on-brand, and up to date Test web builds across browsers and devices to ensure compatibility and responsiveness Web Support for Marketing In addition to primary responsibilities, this role assists with technical web support for the marketing team as directed by the Senior Developer. Build and update web pages required by the marketing team including landing pages, product pages, and campaign pages Support implementation of tracking tools and campaign assets as directed Ensure pages built meet performance standards - fast, responsive, and cross-browser compatible Flag any issues that may impact marketing campaign performance or page quality Internal Web Application Support Feynlab is developing a suite of internal web-based tools under CEO leadership - including a proprietary CRM, a project and task management platform, and an R&D application. This role supports the testing, maintenance, and improvement of these tools. Support testing and quality assurance for Feynlab's internal web-based applications Report bugs and issues clearly with documentation of steps to reproduce Assist with feature updates and UI improvements as directed Use AI-assisted code writing tools where appropriate to support development tasks IT Support Provide first-line IT support for Feynlab employees across all locations as directed by the Senior Developer Assist with hardware, software, email, and general office technology troubleshooting Support IT onboarding for new employees including account setup, device configuration, and software access Maintain IT asset records and user access logs accurately Escalate complex or unresolved issues to the Senior Developer promptly Documentation Document completed work, recurring issues, and their resolutions clearly and promptly Contribute to IT and technical documentation in Feynbase, Feynlab's internal knowledge hub Follow documentation standards set by the Senior Developer Share resolutions so the wider team benefits - do not solve the same problem twice Website Compliance Support the Senior Developer in maintaining website compliance across all markets Flag any compliance gaps identified during website maintenance or testing Professional Development Take ownership of your own learning and stay current with relevant web technologies Complete any training or certifications agreed with your manager Actively seek feedback and apply it What Success Looks Like Tasks are completed accurately, on time, and with minimal rework Issues are identified proactively - not waited on or left for someone else When something goes wrong, it is corrected, documented, and shared IT support requests are handled efficiently and employees are unblocked quickly Documentation is clear, current, and useful to others The Senior Developer can delegate with confidence You are growing - taking on more independently with each passing month Independence & Accountability Feynlab values people who take ownership. In this role that means:If you see an error - fix it, document it, and share the resolution If you are stuck - try first, then ask with context on what you have already tried If something is unclear - ask early, not after it becomes a problem If you have a better way of doing something - say so This is not a role where you wait to be told what to do next. Initiative is expected and rewarded. Education A bachelor's degree in Computer Science, Information Technology, Web Development, or a related field is preferred For UAE visa and work permit purposes, a degree attested by the relevant authorities may be required under MOHRE guidelines Skills & Experience Required Working knowledge of front-end web technologies - HTML, CSS, Java Script Practical experience with Word Press is essential - minimum 1-2 years. The role requires working knowledge of Word Press and Woo Commerce as Feynlab operates fully functional e Commerce sites, not standard CMS websites Ability to troubleshoot and debug website issues independently Basic understanding of how websites are hosted, deployed, and managed Comfortable using browser developer tools Strong attention to detail and accuracy Clear written communication in English Organised, reliable, and responsive Preferred Familiarity with Google Analytics, Google Tag Manager, or similar tracking tools Experience with other CMS platforms (Webflow, Shopify, or similar) is an advantage Exposure to any back-end language or framework (PHP, Python, Node.js) Experience with version control - Git or similar Familiarity with AI-assisted coding tools (Git Hub Copilot, Cursor, or similar) Experience supporting internal tools or business applications Basic understanding of web compliance requirements (cookies, privacy, GDPR) IT support experience or exposure Why Join Feynlab Opportunity to grow within a fast-moving international company and take on increasing responsibility as the business scales Work directly alongside experienced senior leadership and make a real impact from day one A growth-oriented, innovative culture that values initiative, accountability, and professional development Visa, labour card, and health insurance provided Competitive compensation

Full Time 0 to 0 years

Junior Web Developer

On-site - UAE - Dubai 21 June 2026

Engineering

Pay: Up to 6,000.00 AED per month- Please do not apply if this does not meet your salary requirements. About Feynlab Feynlab is a global innovator in surface protection technology headquartered in Chicago, USA, with operations across multiple international locations. Leveraging cutting-edge nanotechnology, our products serve a range of industries including automotive, industrial, marine, and architectural. Our mission is to deliver technically advanced, results-driven solutions backed by exceptional service, continuous improvement, and long-term partnership success. Role Overview The Junior Web Developer supports the technical development and maintenance of Feynlab's websites and internal web-based tools, working under the direction of the Web Developer & IT Support Lead. This is a hands-on role with real ownership of tasks from day one. The ideal candidate is technically capable, eager to learn, takes initiative, and is comfortable working across multiple functions in a fast-moving international company. This role is part of a small, high-accountability team. The expectation is not just to complete tasks but to understand them, document the work, and flag issues early. Independent thinking and problem-solving are valued as much as technical skill. Key Responsibilities Website Development & Maintenance Build and update web pages, landing pages, web features, and plugins as directed Maintain and improve existing Feynlab websites across all regions Troubleshoot and resolve website bugs, broken links, and performance issues Ensure websites are functional, on-brand, and up to date Test web builds across browsers and devices to ensure compatibility and responsiveness Web Support for Marketing In addition to primary responsibilities, this role assists with technical web support for the marketing team as directed by the Senior Developer. Build and update web pages required by the marketing team including landing pages, product pages, and campaign pages Support implementation of tracking tools and campaign assets as directed Ensure pages built meet performance standards - fast, responsive, and cross-browser compatible Flag any issues that may impact marketing campaign performance or page quality Internal Web Application Support Feynlab is developing a suite of internal web-based tools under CEO leadership - including a proprietary CRM, a project and task management platform, and an R&D application. This role supports the testing, maintenance, and improvement of these tools. Support testing and quality assurance for Feynlab's internal web-based applications Report bugs and issues clearly with documentation of steps to reproduce Assist with feature updates and UI improvements as directed Use AI-assisted code writing tools where appropriate to support development tasks IT Support Provide first-line IT support for Feynlab employees across all locations as directed by the Senior Developer Assist with hardware, software, email, and general office technology troubleshooting Support IT onboarding for new employees including account setup, device configuration, and software access Maintain IT asset records and user access logs accurately Escalate complex or unresolved issues to the Senior Developer promptly Documentation Document completed work, recurring issues, and their resolutions clearly and promptly Contribute to IT and technical documentation in Feynbase, Feynlab's internal knowledge hub Follow documentation standards set by the Senior Developer Share resolutions so the wider team benefits - do not solve the same problem twice Website Compliance Support the Senior Developer in maintaining website compliance across all markets Flag any compliance gaps identified during website maintenance or testing Professional Development Take ownership of your own learning and stay current with relevant web technologies Complete any training or certifications agreed with your manager Actively seek feedback and apply it What Success Looks Like Tasks are completed accurately, on time, and with minimal rework Issues are identified proactively - not waited on or left for someone else When something goes wrong, it is corrected, documented, and shared IT support requests are handled efficiently and employees are unblocked quickly Documentation is clear, current, and useful to others The Senior Developer can delegate with confidence You are growing - taking on more independently with each passing month Independence & Accountability Feynlab values people who take ownership. In this role that means:If you see an error - fix it, document it, and share the resolution If you are stuck - try first, then ask with context on what you have already tried If something is unclear - ask early, not after it becomes a problem If you have a better way of doing something - say so This is not a role where you wait to be told what to do next. Initiative is expected and rewarded. Education A bachelor's degree in Computer Science, Information Technology, Web Development, or a related field is preferred For UAE visa and work permit purposes, a degree attested by the relevant authorities may be required under MOHRE guidelines Skills & Experience Required Working knowledge of front-end web technologies - HTML, CSS, Java Script Practical experience with Word Press is essential - minimum 1-2 years. The role requires working knowledge of Word Press and Woo Commerce as Feynlab operates fully functional e Commerce sites, not standard CMS websites Ability to troubleshoot and debug website issues independently Basic understanding of how websites are hosted, deployed, and managed Comfortable using browser developer tools Strong attention to detail and accuracy Clear written communication in English Organised, reliable, and responsive Preferred Familiarity with Google Analytics, Google Tag Manager, or similar tracking tools Experience with other CMS platforms (Webflow, Shopify, or similar) is an advantage Exposure to any back-end language or framework (PHP, Python, Node.js) Experience with version control - Git or similar Familiarity with AI-assisted coding tools (Git Hub Copilot, Cursor, or similar) Experience supporting internal tools or business applications Basic understanding of web compliance requirements (cookies, privacy, GDPR) IT support experience or exposure Why Join Feynlab Opportunity to grow within a fast-moving international company and take on increasing responsibility as the business scales Work directly alongside experienced senior leadership and make a real impact from day one A growth-oriented, innovative culture that values initiative, accountability, and professional development Visa, labour card, and health insurance provided Competitive compensation

0 to 0 years Bayt

Digital Delivery Manager – Buildings Design Delivery

On-site - UAE 27 July 2026

Telecom & Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Requisition Number: 24494BR Description: We are seeking a highly experienced Digital Delivery Manager to lead, govern, and advance Digital Design delivery across our Buildings Design business. This senior role will be responsible for setting and implementing digital delivery strategies, improving multidisciplinary design workflows, and embedding current and emerging technologies across Architecture, Engineering, Project Delivery and Design Management teams. The successful candidate will combine deep technical knowledge of BIM, Revit-based Delivery, Parametric Design, Design Automation, Digital Twins, and Data-Led Workflows with the leadership capability to drive adoption across a consulting engineering environment Key Responsibilities:  Lead the digital delivery strategy for Buildings Design projects, ensuring consistent, efficient, and high-quality delivery across multidisciplinary teams.  Assist/Input into the production, oversee the implementation, and ensure maintenance of BIM execution plans, digital delivery standards, model production protocols, information management workflows, and quality assurance procedures.  Champion ISO 19650-aligned information management, Common Data Environment governance, model federation, clash detection, issue management, data validation, and structured digital handover processes.  Provide leadership to the BIM Managers for Revit-based design delivery across architectural, structural, mechanical, electrical, public health, and specialist design disciplines.  Drive the adoption of parametric and computational design workflows using tools such as Rhino, Grasshopper, Dynamo, Python, and related scripting or visual programming environments.  Identify opportunities to convert analogue or repetitive design, checking, reporting, and coordination processes into automated digital workflows.  Lead the implementation of design automation tools that improve productivity, reduce rework, enhance quality, and support more consistent design outcomes.  Guide project teams in the development and implementation of Digital Twin strategies, including asset data structuring, model readiness, operational data requirements, and lifecycle information handover.  Evaluate and integrate emerging digital delivery technologies, including AI-assisted design workflows, model checking platforms, automated reporting tools, data dashboards, reality capture, cloud collaboration platforms, and Digital Twin environments.  Work closely with design directors, project managers, discipline leads, BIM managers, and delivery teams to align digital solutions with business objectives and project requirements.  Establish training, mentoring, and upskilling programmes to improve digital capability across design teams.  Act as the senior digital delivery point of contact for clients, partners, subconsultants, contractors, and internal leadership teams.  Ensure any new protocols align with the wider Stantec Group policies and procedures.  Engage with Global initiatives for standardisation of Stantec workflows and standards, representing Buildings Middle East. Qualifications:  Bachelor’s degree in Architecture, Engineering, Construction Management, Computational Design, Digital Design, or a related built environment discipline.  Professional certifications in BIM, Digital Delivery, Information Management, or relevant software platforms are highly desirable.  Autodesk Certified Professional, Revit certification, Computational Design training, or equivalent technical credentials would be advantageous.  Minimum 10–15 years of progressive experience in BIM, digital delivery, design technology, or related roles within an engineering consultancy, architecture practice, multidisciplinary design firm, or major built environment organisation.  At least 5 years in a leadership role managing BIM, digital delivery, computational design, automation, or information management teams driving adoption and transformational change at a regional business level.  Proven experience delivering complex Buildings Design projects across multiple disciplines and project stages, from concept design through detailed design, tender, construction support, and handover.  Demonstrated experience developing and implementing BIM standards, digital delivery frameworks, automation strategies, and project-specific digital execution plans.  Strong understanding of engineering consultancy workflows, design coordination requirements, project delivery governance, and client-facing delivery expectations. Technical Knowledge and Software Requirements:  Advanced knowledge of BIM authoring and coordination tools, particularly Autodesk Revit, Navisworks, Autodesk Construction Cloud, BIM 360, BIM Collaborate Pro, and related Autodesk ecosystem tools.  Strong working knowledge of model federation, clash detection, issue tracking, model auditing, information exchange, and digital QA/QC workflows.  Advanced understanding of parametric and computational design platforms such as Rhino, Grasshopper, Dynamo, and associated plug-ins or scripting environments.  Knowledge of design automation approaches using Dynamo, Grasshopper, Python, C#, APIs, custom Revit add-ins, Rhino.Inside.Revit, Speckle, Power Automate, Power BI, and other workflow automation platforms.  Familiarity with Digital Twin development and implementation, including asset information requirements, data schemas, model classification, IoT integration concepts, operational readiness, and integration with facilities management or asset management systems.  Experience with Common Data Environments and collaboration platforms such as Autodesk Construction Cloud, ProjectWise, Trimble Connect, BIMcollab, Revizto, SharePoint, and similar project delivery environments.  Awareness of current and emerging tools for reality capture, laser scanning, photogrammetry, AI-assisted model checking, generative design, automated code checking, data dashboards, and model-based reporting.  Strong understanding of ISO 19650 principles, BIM Execution Plans, Exchange Information Requirements, Asset Information Requirements, naming conventions, classification systems, and information delivery milestones. Design Automation and Innovation Competencies:  Ability to identify repetitive design, documentation, checking, scheduling, quantity extraction, reporting, and coordination tasks that can be automated.  Experience developing or leading automation workflows that improve speed, accuracy, consistency, and design quality.  Ability to translate analogue processes, spreadsheet-based tools, manual checking routines, and discipline-specific workflows into scalable automated solutions.  Strong understanding of data-driven design, computational logic, interoperability, open data exchange, and integration between modelling, analysis, reporting, and project controls systems.  Ability to evaluate new technology against business value, project needs, user adoption, risk, cost, and measurable productivity benefits. Preferred Specifications: Leadership and Business Competencies  Strong leadership capability with experience managing, mentoring, and developing BIM, digital delivery, and design technology teams.  Excellent communication skills with the ability to engage senior leadership, clients, project managers, discipline leads, and technical production teams.  Commercial awareness and the ability to link digital delivery improvements to productivity, quality, risk reduction, margin protection, and improved project outcomes.  Ability to influence change and drive digital adoption across multidisciplinary teams with varying levels of digital maturity.  Strong project governance mindset, including planning, workload management, delivery assurance, risk management, and quality control.  Ability to prepare digital delivery strategies, implementation roadmaps, business cases, training plans, technical standards, and performance dashboards.  Collaborative, proactive, and solutions-focused approach with a commitment to continuous improvement and innovation. About Stantec: We’re active members of the communities we serve. That’s why at Stantec we always design with community in mind. We believe growing a great design company happens from the inside out. We look for people who are drawn to use every talent they possess, plus creativity, determination and a drive to do the extraordinary. The Stantec community unites approximately 22,000 employees working in over 400 locations across six continents. We collaborate across disciplines and industries to bring projects to life. Our work as architects, engineers, and consultants from initial project concept and planning through design, construction and commissioning is built on a solid history of success. So, when we take on a project, we see the opportunity to make a lasting connection with the people and places where we live and work. Redefine your personal best. Join us! Work Location(s):United Arab Emirates-Dubai Employment Type: Full-Time Job Type: Regular Job Category: Engineering Other, Internet/WWW, Technology </div>

0 to 0 years Bayt

Digital Delivery Manager – Buildings Design Delivery

On-site - UAE 27 July 2026

Research & Development

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Requisition Number: 24494BR Description: We are seeking a highly experienced Digital Delivery Manager to lead, govern, and advance Digital Design delivery across our Buildings Design business. This senior role will be responsible for setting and implementing digital delivery strategies, improving multidisciplinary design workflows, and embedding current and emerging technologies across Architecture, Engineering, Project Delivery and Design Management teams. The successful candidate will combine deep technical knowledge of BIM, Revit-based Delivery, Parametric Design, Design Automation, Digital Twins, and Data-Led Workflows with the leadership capability to drive adoption across a consulting engineering environment Key Responsibilities:  Lead the digital delivery strategy for Buildings Design projects, ensuring consistent, efficient, and high-quality delivery across multidisciplinary teams.  Assist/Input into the production, oversee the implementation, and ensure maintenance of BIM execution plans, digital delivery standards, model production protocols, information management workflows, and quality assurance procedures.  Champion ISO 19650-aligned information management, Common Data Environment governance, model federation, clash detection, issue management, data validation, and structured digital handover processes.  Provide leadership to the BIM Managers for Revit-based design delivery across architectural, structural, mechanical, electrical, public health, and specialist design disciplines.  Drive the adoption of parametric and computational design workflows using tools such as Rhino, Grasshopper, Dynamo, Python, and related scripting or visual programming environments.  Identify opportunities to convert analogue or repetitive design, checking, reporting, and coordination processes into automated digital workflows.  Lead the implementation of design automation tools that improve productivity, reduce rework, enhance quality, and support more consistent design outcomes.  Guide project teams in the development and implementation of Digital Twin strategies, including asset data structuring, model readiness, operational data requirements, and lifecycle information handover.  Evaluate and integrate emerging digital delivery technologies, including AI-assisted design workflows, model checking platforms, automated reporting tools, data dashboards, reality capture, cloud collaboration platforms, and Digital Twin environments.  Work closely with design directors, project managers, discipline leads, BIM managers, and delivery teams to align digital solutions with business objectives and project requirements.  Establish training, mentoring, and upskilling programmes to improve digital capability across design teams.  Act as the senior digital delivery point of contact for clients, partners, subconsultants, contractors, and internal leadership teams.  Ensure any new protocols align with the wider Stantec Group policies and procedures.  Engage with Global initiatives for standardisation of Stantec workflows and standards, representing Buildings Middle East. Qualifications:  Bachelor’s degree in Architecture, Engineering, Construction Management, Computational Design, Digital Design, or a related built environment discipline.  Professional certifications in BIM, Digital Delivery, Information Management, or relevant software platforms are highly desirable.  Autodesk Certified Professional, Revit certification, Computational Design training, or equivalent technical credentials would be advantageous.  Minimum 10–15 years of progressive experience in BIM, digital delivery, design technology, or related roles within an engineering consultancy, architecture practice, multidisciplinary design firm, or major built environment organisation.  At least 5 years in a leadership role managing BIM, digital delivery, computational design, automation, or information management teams driving adoption and transformational change at a regional business level.  Proven experience delivering complex Buildings Design projects across multiple disciplines and project stages, from concept design through detailed design, tender, construction support, and handover.  Demonstrated experience developing and implementing BIM standards, digital delivery frameworks, automation strategies, and project-specific digital execution plans.  Strong understanding of engineering consultancy workflows, design coordination requirements, project delivery governance, and client-facing delivery expectations. Technical Knowledge and Software Requirements:  Advanced knowledge of BIM authoring and coordination tools, particularly Autodesk Revit, Navisworks, Autodesk Construction Cloud, BIM 360, BIM Collaborate Pro, and related Autodesk ecosystem tools.  Strong working knowledge of model federation, clash detection, issue tracking, model auditing, information exchange, and digital QA/QC workflows.  Advanced understanding of parametric and computational design platforms such as Rhino, Grasshopper, Dynamo, and associated plug-ins or scripting environments.  Knowledge of design automation approaches using Dynamo, Grasshopper, Python, C#, APIs, custom Revit add-ins, Rhino.Inside.Revit, Speckle, Power Automate, Power BI, and other workflow automation platforms.  Familiarity with Digital Twin development and implementation, including asset information requirements, data schemas, model classification, IoT integration concepts, operational readiness, and integration with facilities management or asset management systems.  Experience with Common Data Environments and collaboration platforms such as Autodesk Construction Cloud, ProjectWise, Trimble Connect, BIMcollab, Revizto, SharePoint, and similar project delivery environments.  Awareness of current and emerging tools for reality capture, laser scanning, photogrammetry, AI-assisted model checking, generative design, automated code checking, data dashboards, and model-based reporting.  Strong understanding of ISO 19650 principles, BIM Execution Plans, Exchange Information Requirements, Asset Information Requirements, naming conventions, classification systems, and information delivery milestones. Design Automation and Innovation Competencies:  Ability to identify repetitive design, documentation, checking, scheduling, quantity extraction, reporting, and coordination tasks that can be automated.  Experience developing or leading automation workflows that improve speed, accuracy, consistency, and design quality.  Ability to translate analogue processes, spreadsheet-based tools, manual checking routines, and discipline-specific workflows into scalable automated solutions.  Strong understanding of data-driven design, computational logic, interoperability, open data exchange, and integration between modelling, analysis, reporting, and project controls systems.  Ability to evaluate new technology against business value, project needs, user adoption, risk, cost, and measurable productivity benefits. Preferred Specifications: Leadership and Business Competencies  Strong leadership capability with experience managing, mentoring, and developing BIM, digital delivery, and design technology teams.  Excellent communication skills with the ability to engage senior leadership, clients, project managers, discipline leads, and technical production teams.  Commercial awareness and the ability to link digital delivery improvements to productivity, quality, risk reduction, margin protection, and improved project outcomes.  Ability to influence change and drive digital adoption across multidisciplinary teams with varying levels of digital maturity.  Strong project governance mindset, including planning, workload management, delivery assurance, risk management, and quality control.  Ability to prepare digital delivery strategies, implementation roadmaps, business cases, training plans, technical standards, and performance dashboards.  Collaborative, proactive, and solutions-focused approach with a commitment to continuous improvement and innovation. About Stantec: We’re active members of the communities we serve. That’s why at Stantec we always design with community in mind. We believe growing a great design company happens from the inside out. We look for people who are drawn to use every talent they possess, plus creativity, determination and a drive to do the extraordinary. The Stantec community unites approximately 22,000 employees working in over 400 locations across six continents. We collaborate across disciplines and industries to bring projects to life. Our work as architects, engineers, and consultants from initial project concept and planning through design, construction and commissioning is built on a solid history of success. So, when we take on a project, we see the opportunity to make a lasting connection with the people and places where we live and work. Redefine your personal best. Join us! Work Location(s):United Arab Emirates-Dubai Employment Type: Full-Time Job Type: Regular Job Category: Engineering Other, Internet/WWW, Technology </div>

0 to 0 years Bayt

Senior QA Engineer

On-site - UAE 28 June 2026

Other

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> The Senior Test Automation Engineer will play a critical role in enhancing Test Automation solutions for the Client’s applications and platforms including the SupTech program, Payments & Reporting platforms and related technology stacks within a modern DevSecOps delivery pipeline. This role encompasses analyzing technical and functional designs, defining test strategies, designing and implementing automated test frameworks and test cases (UI, API, Mobile App, Integrations, Performance Testing), and ensuring high quality, reliability, and security of software deliveries. The Senior Test Automation Engineer will drive continuous improvement in test automation practices & tooling to meet Client’s quality objectives, collaborating with relevant stakeholders to optimize test coverage, execution efficiency, & compliance with industry standards and internal policies Additionally, the engineer will be responsible for integrating existing CI/CD pipelines with test automation scripts to establish a full CI/CD/CT (Continuous Testing) pipeline and utilizing mobile app testing tools such as Appium, Espresso, XCUITest, and Detox The role also involves promoting modern software quality engineering practices, fostering innovation in automation, ensuring code and test quality, promoting collaboration through agile practices, providing effective support and resolution for quality-related issues, and aligning testing and automation decisions with the overall objectives of the Client. Key Responsibilities Core Responsibilities Enhance and implement a robust, scalable, and maintainable test automation solutions for Client’s applications stack. The role ensures that automated testing frameworks and suites are aligned with modern technology stacks and continuously support evolving business and regulatory needs. It involves setting the overall test automation strategy and technical vision, defining quality and testability standards, and ensuring adherence to best practices in software testing, evaluating Test automation and Performance Testing tools and its frameworks, Quality engineering patterns, Adopt agile testing practices and principles across the environment. 1. Test Automation Strategy, Design and Implementation · Design, develop, maintain, and enhance the test automation strategy for key applications and platforms (including SupTech (Supervision Technology for banking supervision), Payments & Reporting, and other critical systems). · Analyze business, functional, and technical requirements to design effective automated test scenarios and suites. · Design, build, and maintain modular, reusable, and scalable test automation frameworks (UI, API, Mobile, Integration, Performance and Regression). · Ensure test automation solutions are aligned with architectural standards, security guidelines, JIRA and DevSecOps/CI-CD practices. · Integrate existing CI/CD pipeline with test automation scripts to establish a full CI/CD/CT (Continuous Testing) pipeline, ensuring continuous validation throughout the development lifecycle. 2. Test Development, Execution and maintenance · Develop, review, and optimize automated test scripts using approved tools and languages. · Integrate automated tests into JIRA (Xray Test Case Management) for comprehensive test case lifecycle management, including requirements traceability, execution tracking, and reporting. · Maintain and refactor existing test suites to improve stability, reliability, coverage, and execution speed, monitor and analyze test execution results, identify flakiness or instability, and implement corrective actions. · Ensure timely execution of automated suites in line with release schedules and quality KPIs. · Implement Mobile Device Farm integration with Tosca (using tools like Perfecto, BrowserStack, or Sauce Labs) to execute automated mobile test cases on both physical devices and emulators/simulators. 3. Quality Engineering, Standards and Governance · Adhere to test automation coding standards, best practices, and design patterns, modern quality engineering approaches (e. g., Test-Driven, Behaviour-Driven, shift-left testing). · Contribute to maintain test data & environment management, test configuration standard · Support the establishment and tracking of quality metrics (e. g., test coverage, defect leakage, automation coverage, and execution duration). · Ensure testing practices are compliant with internal policies, regulatory requirements, and industry standards. 4. Collaboration, Stakeholder Engagement and Support · Collaborate closely with BA, Developers, Solution architects, PMO, and operations teams to ensure quality is embedded throughout the lifecycle. · Liaise between business users and technical teams to clarify requirements, acceptance criteria, test coverage, support for test automation and quality-related issues, including troubleshooting test failures, environment issues and tool integration challenges. · Participate actively in agile ceremonies (planning, refinement, reviews, retrospectives) to represent quality and test automation perspectives. 5. Tooling, Innovation and continuous improvement · Evaluate, recommend, and implement test automation, performance testing, and quality engineering tools and frameworks that align with the Client’s technology stack. · Explore and adopt innovative approaches such as AI-assisted testing, model-based testing, and test impact analysis where relevant. · Continuously optimize test suites (e. g., prioritization, parallelization, environment usage) to reduce cycle time and improve feedback speed. · Identify opportunities to improve processes, enhance test coverage, and increase automation maturity across teams. · Utilize mobile app testing tools such as Appium, Espresso, XCUITest, and Detox for mobile automation and implement CI/CD/CT pipeline orchestration to enable continuous testing with automated smoke, regression, integration, and performance tests. 6. Documentation and Knowledge management · Develop and maintain comprehensive documentation for test automation frameworks, standards, test suites, and execution processes. · Document and share lessons learned, best practices, and guidelines for effective automation of quality. · Perform any other duties outside the scope as and when required. Self-Management Responsibilities · Professional Development: Identify and pursue training opportunities to enhance skills and competencies. · Competency Mastery: Strive for excellence across all required competencies for the role. · Industry Awareness: Stay informed about emerging trends, techniques, and advancements in the field to ensure continued relevance and capability. Threshold Qualifications: · Bachelor’s or Master’s degree in Software Engineering (IT) · Professional certifications in Software Testing Automation. · Extensive expertise in Tricentis TOSCA automation tool, NEOLOAD performance testing tool · ISTQB, Cypress/Appium certifications, Agile/Scrum, DevSecOps, CI/CD would be an advantage. · Certifications in mobile testing tools (Appium, XCUITest, Espresso, Detox) · Xray Certified Practitioner (JIRA Xray Test Case Management) - Preferred Experience: · Minimum of 6+ years of hands-on experience in software testing with a strong focus on test automation across UI, API, and integration layers. · Proven track record in designing, implementing, and maintaining automation frameworks and suites for enterprise-level applications. Technical Skills: Tosca Automation Specialist: · Tosca Installation Setup, Server management, Tosca Commander workspace navigation, Scanning modules. · Test Data Service (TDS) for data creation, Test case design (TCD), Test data management (TDM), Setting up Distributed Execution (DEX) agents. · Parameterization, Synchronization, Simulation, Integration testing. · Proficiency in Selenium, JMeter/LoadRunner, REST/SOAP, Postman, Appium, Espresso, XCUITest, Detox · Scripting language for test automation (Java, JavaScript, Python) · CI/CD/CT Pipeline Experience: Integrating automated tests within CI/CD pipelines (Jenkins, GitLab, Azure DevOps) to establish continuous testing workflows. Experience with CI/CD/CT orchestration and pipeline management Preferred Skills : · Advanced module design patterns, recovery scenarios, utilizing libraries to maintain stable automated suites. · Skills to automate API/Microservices testing (REST/SOAP, Postman, Swagger) · Data-driven tests to maximize coverage with minimal test cases. · Database Testing: MSSQL, MYSQL, ORACLE · Analytical skills to conduct RCA (root cause analysis) · Integrating automated tests within CI/CD pipelines (Jenkins, GitLab Azure DevOps) · Familiarity with containerization and orchestration (Docker, Kubernetes) · Integration of Tosca to Mobile Device Farm (such as Perfecto, BrowserStack, Sauce Labs) and able to execute automated testcases in Mobile Devices (Physical device or Emulator/Simulator) · Mobile App Testing Tools: Appium, Espresso, XCUITest, Deto Preferred Certifications: · Tosca Automation Suite (AS1 and AS2) and Test Design Specialist (TDS1 & TDS2) · Automation Engineer (AE) · Xray Certified Practitioner (JIRA Xray Test Case Management) </div>

Full Time 0 to 0 years

Pre-Sales / Integrations Engineer

On-site - UAE - Dubai 2 August 2026

Information Technology

Company Overview Namiri Technology Services LLC provides tax integration software and services in the UAE, aligned with the e-Invoicing framework led by the Ministry of Finance (MoF) and Federal Tax Authority (FTA). Its flagship platform, Digi Tax, helps businesses transmit tax data simply, securely and efficiently. Digi Tax operates across Kenya, Nigeria, Zambia and the UAE through a single integration layer supporting multiple national e-invoicing regimes. The UAE framework follows a decentralised, Peppol-based five-corner model. Structured invoices are exchanged in the PINT AE format through Accredited Service Providers and reported to the FTA in near real time. The UAE mandate is entering its live phase. The voluntary pilot opened on 1 July 2026. Businesses with annual revenue of AED 50 million or more must appoint an Accredited Service Provider by 30 October 2026, with mandatory issuance beginning on 1 January 2027 for this group. Additional cohorts will follow during 2027. Demand for technical integration support is therefore immediate and expected to grow. Position Summary The Pre-Sales / Integrations Engineer is a customer-facing technical role supporting Sales, Partners and Integrations throughout the customer lifecycle. You will help prospects and customers understand how Digi Tax connects with their ERP, billing platform, POS or custom application. You will deliver technical demonstrations, answer integration questions, prepare solution documentation and support customers through pilot, sandbox and pre-go-live testing. You will also serve as the technical point of contact for Digi Tax’s partner ecosystem, including ERP implementation partners, software vendors, accounting and audit firms, resellers and internal development teams. You will help partners build, test and certify connectors, plugins and embedded workflows using the Digi Tax API. The role requires close collaboration with Sales, Integrations, Engineering and Product to develop clear integration plans that satisfy PINT AE and Peppol requirements. Responsibilities Prospects and Direct Customers Join sales calls to understand the customer’s systems, technical environment, invoice volumes and integration requirements. Deliver technical demonstrations covering Digi Tax, APIs, data flows, PINT AE field mapping and common integration patterns. Respond accurately to technical questions, RFPs, RFIs and security or compliance questionnaires. Prepare integration scoping documents, solution diagrams, field-mapping sheets and sample payloads. Support customers during pilot and sandbox phases by troubleshooting API calls, validating XML, interpreting PINT AE errors and explaining Peppol responses. Guide customers through onboarding requirements, including ASP appointment, Emara Tax onboarding, Peppol identifier setup and master-data preparation. Help customers identify and close data gaps between their ERP and the UAE Data Dictionary. Escalate complex implementation matters and hand over clearly to Integrations and Engineering. Partners and Ecosystem Act as the technical contact for ERP vendors, accounting platforms, implementation partners, channel partners, audit firms and developer teams. Run partner onboarding sessions covering API functionality, sandbox access, credentials and environment setup. Support partners building connectors, plugins, extensions and embedded workflows on the Digi Tax API. Advise partners where Digi Tax should fit within their invoice lifecycle and how to display statuses, errors and retries. Review partner integrations against functional and compliance checklists before certification or go-live. Conduct developer office hours and working sessions to resolve authentication, payload, validation and document-type issues. Create and maintain API documentation, quick-start guides, reference implementations, sample applications, Postman collections and changelogs. Communicate API changes, deprecations and new capabilities to partners. Identify frequently repeated partner requirements and recommend reusable platform features or plugins to Product. Cross-Functional Responsibilities Maintain pre-sales collateral, integration guides, FAQs, sample code, Postman collections and demo environments. Capture recurring customer and partner issues and share them with Product and Engineering. Monitor changes to MoF and FTA guidance, specifications and timelines. Ensure customer- and partner-facing guidance remains accurate and aligned with UAE e-invoicing requirements. Technical Skills Working knowledge of REST APIs, webhooks and authentication methods such as API keys, OAuth and certificates. Exposure to SOAP or Graph QL is an advantage. Comfortable working with XML and JSON and reviewing sample payloads. Exposure to UBL, XSD or Schematron validation is beneficial. Experience with Postman, Insomnia or similar API testing tools. Basic ability to read logs and diagnose integration issues. Understanding of how ERPs, billing platforms and POS systems generate and exchange transaction data. Exposure to SAP, Oracle Net Suite, Microsoft Dynamics 365, Odoo, Zoho, Sage or Tally is valuable. Understanding of ERP add-ons, middleware, i Paa S tools, plugins and extension frameworks. Awareness of good API design principles, including clear documentation, useful error messages, sandbox parity, idempotency and versioning. Ability to write practical developer documentation and quick-start guides. Basic understanding of tax invoices, credit notes, debit notes and self-billed invoices. Familiarity with UAE VAT concepts, including TRN, standard-rated, zero-rated and exempt supplies, reverse charge and designated zones. Familiarity with Peppol, PINT AE or regional frameworks such as ZATCA is preferred. Basic scripting ability in Python, Java Script or a similar language is an advantage. Education and Experience Bachelor’s degree in Computer Science, IT, Engineering, Finance, Accounting or a related field. Equivalent industry experience may be considered. One to three years of experience in a customer-facing technical role, such as pre-sales engineering, solutions consulting, technical support, implementation or integrations. Experience supporting customers with API-based product integrations is strongly preferred. Experience supporting external developers or partners building on an API is highly valued. UAE, GCC or regional ERP implementation experience is an advantage. Professional fluency in English is required. Arabic is a strong advantage. Candidate Profile Customer-focused and able to understand business needs and translate them into technical requirements. Curious and willing to learn new APIs, systems, tools and specifications quickly. Clear communicator who can explain technical concepts to non-technical stakeholders. Comfortable preparing documentation, writing follow-ups and delivering live demonstrations. Structured problem solver who investigates authentication, payload, validation and endpoint issues methodically. Takes ownership, follows through on commitments and escalates issues appropriately. Enjoys enabling partners through documentation, training and repeatable solutions. Treats developer documentation, examples and error explanations as part of the product. Comfortable managing multiple customer onboardings against fixed regulatory deadlines. Honest and composed; does not over-promise and can clearly explain unsupported features. Comfortable working with UAE’s multinational business community and adapting communication styles. Collaborative across Sales, Integrations, Engineering and Product. Compliance-aware and committed to providing guidance consistent with approved MoF and FTA requirements.

Full Time 0 to 0 years

Forward Deployed Engineer, Agentic Platform

Remote - UAE - Dubai 2 August 2026

Information Technology

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us! About North North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why This Role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Note: between 20 - 40% travel anticipated In This Role, You Will Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization Travel up to 20–40% to work on-site with customers and partners You May Be a Good Fit If You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs You have experience owning the full scope of a use case end-to-end You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a Bonus If You Have Experience setting architectural standards for AI and agentic systems across distributed teams Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) Experience with enterprise security, compliance, or auditability requirements for AI systems We are open to candidates currently based in the Middle East or who are open to travelling or relocating. Full-Time Employees At Cohere Enjoy These Perks A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme.100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. How And Where We Work Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and Linked In only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

Full Time 0 to 0 years

Lead Analyst

On-site - UAE - Sharjah Emirate 22 July 2026

Information Technology

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED) Location: Bangkok, Thailand (*Not open for remote work) Get to Know our Team: The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda. The Opportunity: As a Lead Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda. In this Role, you’ll get to: Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. Proactively identify opportunities for growth within supply and the wider business. Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. Automate manual operational processes and present back on time savings gained through modernization of business operations What you’ll Need to Succeed: At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BIAdvanced working knowledge and hands-on experience in SQLStrong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. Experience in conducting A/B testing experimentation Strong experience in finding data insights and provide business recommendation to the business A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. Data driven in both decision making and performance measurement. Extreme comfort in ambiguous, fast-paced environment. Ability to multi-task, prioritize and coordinate resources. It’s Great if you Have: MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience. Asian market experience. Travel industry / e-commerce / tech / consulting experience. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Full Time 0 to 0 years

Lead Applied Value Engineer

On-site - UAE - Dubai 22 July 2026

Information Technology

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise Saa S companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. The Role As Senior Applied Value Engineer, you are a strategic pioneer leading the charge in solving complex, business-critical problems for our customers. Working with our most strategic global accounts, you will diagnose their strategy and key operational challenges to discover and build tailored, domain-specific use cases. You will architect and prototype state-of-the-art AI and technical solutions on the Celonis platform, demonstrate their business impact to C-suite Executives, and ensure successful implementation, adoption, and value realization. The Work You’ll Do Discovery & Advanced AI Solutioning: Act as the foremost Celonis product and domain positioning expert. Seamlessly translate deep domain expertise and complex customer requirements into flawless enterprise architecture. You will lead technical discovery to architect, prototype, and build bespoke, state-of-the-art AI solutions targeting nuanced operational pain points. AI Solution Development: Lead the end-to-end execution of high-stakes Proof-of-Value (PoV) projects. Architect and deliver highly secure, scalable LLM/agent systems with advanced RAG, tools, and strict guardrails; integrating flawlessly with rigid enterprise data, identity, and compliance frameworks. Value Selling & Realization: Act as a trusted advisor, maintaining active involvement with strategic accounts to ensure programmatic value realization until agreed-upon value, massive adoption thresholds, and operational transformations are achieved. Domain & Industry Specialization: Leverage deep domain expertise combined with cross-system, AI-driven solutioning to architect industry-specific E2E solutions. You will codify this work into reusable methodology and globally scalable assets to accelerate time-to-value and mentor junior peers. The Qualifications You Need Executive-Facing Presales & Value Engineering (7+ years): Demonstrated experience independently owning the technical close and driving compelling AI transformation narratives. Requires a proven background in accountable PoV execution, complex ROI/TCO modeling, and showcasing the "Art of the Possible" by pitching visionary solutions to hidden problems—with a clear track record of driving projects all the way through to achieved value. Domain & Industry Expertise: Comprehensive knowledge of core operational workflows and industry landscapes (e.g., supply chain, finance). You can speak the language of C-suite executives and seamlessly connect complex, systemic bottlenecks to strategic AI solutions. Agentic AI Systems: Advanced architectural mastery of LLM orchestration, tool use/function calling, RAG, agents, prompt engineering, and agentic patterns for enterprise workflows. Math & Operations Research: Practical, expert-level application of linear/nonlinear optimization, rigorous statistical analysis, reinforcement learning, and advanced predictive forecasting. Production ML/LLMOps at Scale: Extensive experience in designing deployment architectures and dictating reliability standards for production-grade AI across cloud providers (AWS Bedrock, Azure AI, GCP Vertex AI). Software/Data Engineering: Python proficiency, modular API design, creating reusable libraries, advanced SQL, and scalable data integration using ML/AI frameworks (PyTorch, Tensor Flow, scikit-learn, XGBoost, Hugging Face). AI Architecture & Security: Proven ability to architect secure enterprise cloud environments, ensuring stringent adherence to identity and access management (IAM) protocols, data governance frameworks, global privacy laws, and overarching security standards. Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos. Flawless English with exceptional executive presence. Degree: Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred. What Celonis Can Offer You Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video. Celonis Inclusion Statement At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process. Please be aware of common job offer scams, impersonators and frauds. Learn more here.

Full Time 0 to 0 years

Field CTO

On-site - UAE - Dubai 20 July 2026

Customer Service

Chief Technology Officer AI-native transformation leader & hands-on builder-in-chief driving intelligent engineering to create real business value for enterprises. Architect what’s next. Own client revenue. Scale meaningful outcomes. Your Mission: The Rolesolving for better. You are not just a technology leader. You are the chief architect of our future and innovation leader. You lead by doing—by building systems, shipping platforms, and scaling infrastructure that powers real AI outcomes. You won’t be presenting tech strategy on Power Point. You’ll be hands-on defining foundational architecture, evolving our platform DNA, and unlocking entirely new capabilities for AI-native product development. You will head Engineering, R&D, and Strategic Partnerships from a tech standpoint, employing first-principles design to create defensible moats and net-new revenue streams. Slide decks are optional after the platform is live. We’re not hiring a spokesperson. We need a CTO who still reviews PRs, whiteboards latency trade-offs, and thinks deployment-first. Relentless prototyper, ruthless refactorer, defender of velocity—you’ll be the Directly Responsible Individual (DRI) for velocity, integrity, innovation cadence and the performance of the engineering org behind it. Your Responsibilitieswhat you will wake up to solve. This isn’t a “manage the tech team” role. You are the architect of reimagine 'what's next' and redefine the 'how' of 'what's next'. Your mission is to define the future of AI-native technology, build scalable platforms, and translate technical excellence into compounding business advantage. Here’s how you’ll make your mark: Set the North Star — Strategy & Vision Architect the future. Define the 3-year roadmap for futurify.ai & evlos™, platform evolution, and infrastructure scale on Google Cloud. Link tech to P&L. Tie every architectural bet to revenue growth, margin, and client ROI (target ≥ 30% uplift). Build the Moat — Innovation & IPPatent the edge. File 10+ patents in 2 years across hybrid human-AI workflows, adaptive learning loops, and Agent2Agent protocols. Prove novelty. Run continuous prior-art sweeps; partner with legal to lock defensible claims. Accelerate R&D. Spin up internal accelerators—e.g., ROI dashboards with self-improving ML delivering production pilots in Power Point. Maintain a “code by day 1” rule; reduce iteration loops by 40 % via agentic automation. Guardrails & reliability. Embed SRE, security, and ethical HITL checks into CI/CD; track NPS > 80 via real-time dashboards. Grow the Engine — People & Ecosystem Elevate talent. Hire, coach, and retain world-class engineers; double internal promotion rate YoY. Set the bar. Codify standards, design reviews, and architectural principles that scale across squads. Partner to win. Forge deep alliances with hyperscalers, ISVs, and research labs; present Searce’s narrative at industry forums." Welcome to Searce The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules. We don’t do traditional. As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better. We build alongside our clients. Not for the vanity metrics. But for the transformation to embed lasting competitive advantage for our clients. The result? Modern business reinvention, built on math, tech, and clarity of purpose. Functional Skills Engineering minded Business & Tech Ownership: Designs, evaluates, and evolves AI & data platforms, Decision Intelligence Engineering, MLOps, Cloud Platform Engineering - owning the blueprint end-to-end. Platform Scalability Sense: Balances performance, tech-debt, and cost to scale reliably without sacrificing maintainability. First-Principles Builder: Uses evlos-style iteration to decide what to build, evolve, or retire—never cargo-culting patterns. Operational Judgment & Reliability: Knows when to optimise vs. refactor; delivers 99.9 % uptime, security, and ethical AI guardrails. Product-Aware Systems Thinker: Aligns architecture with business impact, usability, and extensibility—ties every feature to ROI. Complexity Simplifier: Turns deep tech into plain-speak narratives for execs, engineers, and clients alike. Team-Builder & Culture Carrier: Hires, mentors, and scales “solver” talent; fosters an always-in-beta, high-ownership culture. Strategic Trade-Off Navigator: Makes context-driven calls when speed > polish or robustness > elegance; communicates rationale clearly. Tech Superpowers AI-Native Architect – Reimagines business with modern Tech to deliver platforms, accelerators & real value to clients. Process first mindset and ready to embrace agentic AI to enable process transformation. Full-Stack Platform Thinker – Builds modular, reusable services across data, MLOps, vector DBs, and Google Cloud infra. Distributed-Systems Savant – Crafts resilient, low-coupling architectures that survive burst traffic and node failure. Security & Privacy Guardian – Embeds zero-trust, privacy-by-design, and ethical guardrails into every pipeline. Multi-Agent Orchestrator – Engineers hybrid human-AI workflows, adaptive learning loops, and Agent-to-Agent protocols. Product-Minded Technologist – Balances technical rigor with user impact; ties every release to measurable ROI. Pragmatic Tool Picker – Chooses the simplest tech that compounds scalability; fluent in Python, Tensor Flow/PyTorch, Go. Engineer @ Heart – Writes, reviews, and debugs code daily; proves designs with benchmarks, not slideware. Business-first, tech-second, outcome focused technology leader." Experience & Relevance Scale & Leadership – 15 + years leading high-growth engineering orgs; built teams from 10 → 200 while preserving velocity and culture. Architecture & AI Execution – Led 0→1 and 1→100 deliveries in MLOps, LLM stacks, or large-scale data infra on Google Cloud, Databricks, AWS, Open AI; agentic workflows. Cross-Functional Business Impact – Bridged R&D, product, and GTM to deliver ≥ 30 % ROI improvements; trusted by founders and Fortune-500 execs alike. High-Stakes Decisioning & Influence – Navigated trade-offs in mission-critical, multi-region deployments; converts technical depth into board-level clarity. Pedigree Credentials – Advanced degree (MS/PhD) in CS/AI/Eng; proven industry disruption record; combines MBB-style strategy with a builder’s execution bias. Bonus Points (you will thrive if you have) Org Architect – Designed or scaled a 100 + engineer AI platform org from scratch. Patent Prodigy – Filed/secured ≥ 5 AI or distributed-systems patents. Open-Source Evangelist – Created or maintained widely adopted OSS in MLOps / vector databases. Recognized Tech Authority – Recognised expert (e.g., Google Dev Champion, AWS or Databricks) who optimises cost, latency, and security at hyperscale. Battle-Tested – Has broken production systems, learned, and automated safeguards to prevent repeats. Adoption-Focused – Proven knack for turning tech into sticky user adoption and recurring revenue. Founder Energy – Combines product vision, engineering heart, and ownership gut; bias for rapid prototyping & decision velocity within Searce “Happier” DNA Join the ‘real solvers’ready to futurify? If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Python Developer Jobs in UAE

Forward Deployed Engineer - SRE

Senior AI Solutions Engineer

Forward Deployment Engineer (m/f/d)

Murex FO Consultant - Structured Products

Software Developer/Trainer

AI Tester

Environmental Research Manager

Solutions Architect

Staff IoT Solutions Engineer

Lead Software Developer

Junior Web Developer

Junior Web Developer

Digital Delivery Manager – Buildings Design Delivery

Digital Delivery Manager – Buildings Design Delivery

Senior QA Engineer

Pre-Sales / Integrations Engineer

Forward Deployed Engineer, Agentic Platform

Lead Analyst

Lead Applied Value Engineer

Field CTO

Site Owners

Employers

Job Seekers

Python Developer Jobs in UAE

Receive email alerts for Python Developer Jobs in UAE jobs