وظائف هندسة النظم في الإمارات

<ul><li>Design PLC/ESD hardware and software</li><li>Testing of PLC/ESD systems</li><li>Commissioning and site activities including Pre-FAT, FAT, SAT</li><li>Work on industrial automation projects</li><li>Apply knowledge of Functional Safety, IEC 61508 and IEC 61511 standards</li><li>Operate and program PLC/Control Systems such as Yokogawa ProSafe-RS, Triconex, Honeywell, Allen-Bradley, ABB or similar</li><li>Program using IEC 61131-3 languages – Ladder Logic, FBD, and ST</li><li>Conduct basic electronics tasks including circuit theory, voltage, current, and resistance measurements</li><li>Use industrial communication protocols like Modbus, EtherNet/IP, OPC</li><li>Prepare Nest Loading, FDS, System Architecture and related engineering documents</li><li>Perform site commissioning as required</li><li>Adapt to work onsite and in office based on project requirements</li><li>Meet demanding project schedules and requirements</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Good English communication skills</li><li>Strong technical background in PLC/ESD systems</li><li>Willingness to work at site and/or office</li><li>Ability to work with demanding project schedules</li></ul>

We're excited to be partnering with a leading institution in the UAE that is building a digital-first, AI-enabled financial services organisation from the ground up. This is a unique opportunity to join at an early stage and help shape the technology, data, and AI foundations of a business with significant institutional backing and long-term ambition. As Enterprise Architecture Lead, you will be responsible for defining and governing the enterprise technology landscape, integration architecture, AI architecture standards, and technology strategy. Working closely with Technology, Data & AI, Solution Architecture, and delivery partners, you'll play a key role in establishing the architectural foundations that enable a secure, scalable, and AI-native financial institution from day one.<br>Key Responsibilities:• Own and maintain technology landscape, including business capability models, application portfolios, platform maps, target-state architecture, and transition roadmaps.• Design the architecture that enables AI agents to operate as governed members of the organisation, including agent orchestration, non-human identity, permissioning, and human-in-the-loop supervision.• Architect the organisation's intelligence layer, including AI gateways, model registries, agent registries, evaluation frameworks, guardrails, and feedback mechanisms.• Define and govern enterprise integration architecture, including API standards, event-driven architecture, streaming platforms, schema governance, and agent-facing protocols such as MCP.• Build and maintain machine-readable enterprise architecture models that support automated governance, architecture conformance, and AI-assisted decision-making.• Develop reference architectures for resilience, disaster recovery, observability, identity management, auditability, and enterprise data movement.• Lead technology selection, architecture governance, vendor evaluations, and challenge system integrator designs to ensure alignment with enterprise standards.• Establish and enforce enterprise architecture standards across a complex multi-vendor ecosystem while managing deviations and remediation activities.• Support regulatory reviews, licensing activities, audits, operational resilience requirements, and AI governance initiatives through robust architectural controls and evidence-based documentation.<br>Required Experience: 10+ years in enterprise architecture within banking or financial services, including hands-on architectural leadership of a greenfield build or enterprise-scale transformation — operating at estate level, above individual solution design. Demonstrable experience architecting AI/ML and agentic systems in production — platform patterns for model deployment, orchestration, evaluation, and governance — beyond proof-of-concept work. Track record designing integration architectures at bank scale — event-driven and API-based — and holding multiple vendors and system integrators to common standards. Deep familiarity with modern cloud architecture (Azure preferred), including hybrid and private-cloud target states and data residency-constrained design. Direct experience in a regulated environment: architecture support for licensing, audits, model risk reviews, and operational resilience expectations. A record of landing complex, contested technology decisions with executive stakeholders in politically demanding environments. Ability to work in a fast paced start up environment, building and implementing an enterprise tech road map. Excellent stake holder management and negotiating skills.<br>Technical Expertise: AI and agentic architecture: LLM gateways, model serving and registries, agent orchestration frameworks, tool-use patterns, evaluation and guardrail tooling, LLMOps. Enterprise architecture practice: capability mapping, application portfolio management, and target/transition-state design — expressed as machine-readable models rather than framework documentation. Integration technologies: event streaming platforms (Kafka or equivalent), API management, schema registries, Open API/Async API/Cloud Events, agent integration protocols (MCP and comparable), and non-human identity and workload authentication. Cloud and infrastructure architecture: Azure landing zones, Kubernetes-based platforms, resilience and DR patterns, and infrastructure-as-code operating models. Responsible AI and model risk: explainability, decision audit trails, containment and permissioning models, and alignment with regulatory expectations for AI in banking. <br>Qualifications: Bachelor's degree in Computer Science, Information Systems, or a related discipline; relevant postgraduate qualification an advantage. Cloud architecture certification (e.g. Azure Solutions Architect Expert) an advantage.

<strong>This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Engineer (Core &amp; MLOps) based in United Arab Emirates.<br><br></strong>This role offers the opportunity to shape foundational infrastructure powering large-scale web data products and distributed engineering teams. You’ll own the architecture of core control and context planes that enable services and AI-driven workflows to operate reliably and efficiently. Working across Kubernetes, Kafka, Java, Python, gRPC, and multi-cloud infrastructure, you’ll tackle complex distributed systems challenges at production scale. You’ll establish engineering standards, reliability practices, and service contracts that influence multiple product squads. The role combines hands-on architecture with technical leadership, mentoring, and cross-functional alignment. In a globally distributed, remote-first environment, you’ll have significant autonomy to solve challenging infrastructure problems and influence long-term platform strategy.<br><br><strong>Accountabilities<br><br></strong><ul><li>Architect and evolve the control and context planes, advancing service and schema registries, SLO enforcement, health-aware routing, automated canary releases, and operational feedback loops.</li><li>Own the service chassis and golden path, maintaining and improving multi-language Java and Python client libraries, standardized workload specifications, Helm charts, and deployment pipelines.</li><li>Define and govern inter-service contracts, including gRPC and Protocol Buffer definitions, API gateway transcoding, versioning policies, and schema evolution standards.</li><li>Operate and improve the core platform infrastructure across Kubernetes, Terraform, HAProxy/Nginx, Confluent Kafka, real-time billing pipelines, Valkey, and database modernization initiatives.</li><li>Lead architectural strategy through Requests for Discussion (RFDs) covering workflow orchestration, gateway orchestration, multi-cluster routing, automated failover, and other critical platform initiatives.</li><li>Establish reliability engineering practices, including SLOs, SLIs, error budgets, fault isolation, and automated weighted canary deployments.</li><li>Participate in shared infrastructure on-call rotations, lead incident post-mortems, and convert operational insights into platform improvements.</li><li>Mentor engineers across multiple squads, review architectural proposals, and establish engineering practices that make reliable software development more consistent and efficient.<br><br></li></ul><strong>Requirements<br><br></strong><ul><li>10+ years of experience building scalable distributed backend systems, with a strong track record of creating internal platforms or core libraries adopted across engineering organizations.</li><li>Advanced Java expertise, including reactive frameworks such as Vert.x or Netty, combined with strong Python proficiency.</li><li>Deep experience with gRPC and Protocol Buffers, including schema evolution and backward compatibility in mission-critical systems.</li><li>Hands-on production experience with Kubernetes at scale, Terraform, and event-streaming platforms such as Kafka.</li><li>Experience designing automated telemetry pipelines, materialized views, feature stores, or other feedback systems that use production data to dynamically improve system behavior.</li><li>Strong reliability engineering background, including SLO/SLI definition, blast-radius analysis, fault tolerance, and rigorous service contracts.</li><li>Exceptional technical writing skills and the ability to communicate complex architectural concepts clearly while driving alignment across teams.</li><li>Strong written and interpersonal communication skills suited to a globally distributed, remote-first environment.</li><li>A curious, continuous-learning mindset with an interest in evaluating new technologies, architectures, and engineering approaches.</li><li>Experience with Temporal, DBOS, or similar durable execution platforms is a plus.</li><li>MLOps experience, including model serving, performance monitoring, or production drift detection, is advantageous.</li><li>Familiarity with zero-trust networking and service meshes such as SPIRE, mTLS, Cilium, Istio, or Envoy is beneficial.</li><li>Experience building developer tooling such as CLIs, SDKs, or project generators is a plus.</li><li>Experience with large-scale web scraping or crawling, or contributions to distributed-systems and data-extraction open-source projects, is advantageous.<br><br></li></ul><strong>Benefits<br><br></strong><ul><li>Fully remote, remote-first working environment with flexible working hours.</li><li>Freedom and flexibility to work from the location where you are most productive.</li><li>Opportunity to work on core infrastructure supporting large-scale web data pipelines and distributed systems.</li><li>Exposure to cutting-edge open-source technologies, tools, and evolving AI and web data infrastructure.</li><li>Opportunities to attend conferences and connect with colleagues across the globe.</li><li>Collaboration with a diverse, multicultural, and globally distributed engineering community.</li><li>High level of autonomy and organizational trust.</li><li>Opportunities to influence platform architecture, engineering standards, and technical strategy across multiple teams.<br><br></li></ul><strong>How Jobgether Works<br><br></strong>We use an <strong>AI-powered matching process</strong> to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br><strong>Data Privacy Notice:</strong> By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.<br><br>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Automation Service Engineer – Dubai, UAE We empower our people to stay resilient and relevant in a constantly evolving world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make an outstanding addition to our vibrant international team. Siemens Digital Industries is a leading innovator in automation and digitalization. Our mission is to support customers in maximizing growth, profit opportunities and ecological footprint in the discrete and process industries. Ready to create your own journey? Join our Digital Industry as the Automation Service Engineer and help us transform the everyday by finding solutions and making the world a more inquisitive place for tomorrow. You‘ll make an impact by: Design, engineering, implementation, testing, and commissioning of Automation Control Systems. Service, troubleshooting, and maintenance of systems including: PCS7 / DCS Systems ESD Safety Systems F&amp;G Safety Systems Step7, WinCC, Totally Integrated Automation SIMATIC S7 Safety Systems S7-300, S7-400/400H/400FH, S7-1200, S7-1500 R/H Your success is grounded in Design, implement, and commission PCS 7 control systems and SIMATIC S7 Safety Systems for a variety of industrial control system applications Develop PCS 7, TIA, WinCC, STEP 7, and PLC programs based on schematics and customer specifications. Troubleshoot control loops, motor wiring, and industrial instrumentation. Industrial instrumentation selection, configuration, commissioning, and troubleshooting. Design industrial network architectures with a focus on cybersecurity best practices Configure, commission, and troubleshoot industrial network devices and communication protocols Ensure compliance with industry standards and regulations related to industrial control system cybersecurity Perform risk assessments, vulnerability testing, and implement security measures to protect control systems Develop and document cybersecurity policies, procedures, and incident response plans Train operations and maintenance personnel on cybersecurity awareness and best practices Collaborate with cross-functional teams, including IT, operations, and management, to ensure holistic cybersecurity approach Prepare comprehensive documentation, including IO lists, FDS/DDS, system architectures, wiring diagrams, control schematics, SCADA graphics, ESD C&amp;E matrix, FAT/SAT procedures, and O&amp;M manuals Your Qualifications and Skills: Bachelor’s degree in Electrical Engineering, Automation, or a related field Minimum 5+ years of experience in Siemens DCS and SCADA design, programming, commissioning, and troubleshooting Hands-on experience in PCS 7 Safety Systems, STEP 7, WinCC, TIA, and Safety Systems Strong problem-solving, analytical, and troubleshooting skills Excellent client-facing and communication skills, with the ability to work as part of a combined client/contractor team Fair knowledge of industrial control system cybersecurity standards and best practices (e.g., ISA/IEC 62443, NIST SP 800-82) Proficiency in network architecture design, industrial communication protocols, and network security technologies Familiarity with industrial control system vulnerabilities, threat modeling, and risk assessment methodologies Experience in developing and implementing cybersecurity policies, procedures, and incident response plans Willingness to travel and work onshore and offshore as required UAE valid driving license Desirable Skills Experience in developing secure PLC and SCADA programming practices Strong verbal and written communication skills Knowledge of industrial control system forensics and incident response Familiarity with industrial IoT and cloud-based control system architectures Experience in water, wastewater, petrochemical, or oil and gas industries · Certification in industrial control system cybersecurity (e.g., GICSP, CISA, CISSP) will be added value / good to have. You’ll benefit from Diverse and inclusive culture. An environment where everyone can bring their whole self and feel a sense of belonging. the foundation to develop personally and professionally. Extraordinary variety of learning &amp; development opportunities Transform the everyday with us We value your outstanding identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. We celebrate the fact that our people are individuals and have different preferences and needs. If we all thought the same, we would never think of anything new! That’s why we recruit extraordinary minds from all walks of life. We are committed to furthering our culture of diversity, equity and inclusion. We encourage applications from a diverse talent pool and are happy to give the opportunity to discuss flexibility and reasonable adjustment requirements. Many of our teams are working optimally in a remote, virtual adding to our ability to offer more flexibility on how you handle your time. Please note: Only complete applications can be considered in the selection process.</span> </div>

<p><strong>Landmark Digital</strong></p><p>As a part of the Landmark Group, a renowned retail and hospitality conglomerate in the Middle East, North Africa, and India, <strong>Landmark Digital is the dynamic digital arm of Landmark Retail,</strong> serving as the cornerstone of our omnichannel business strategy.</p><p><br></p><p>Headquartered in Dubai, UAE, we oversee the digital operations of eight leading brands across diverse geographies, with ambitious plans for expansion into new territories and functions. Joining us means becoming a vital part of the Middle East's most significant bricks-to-clicks success story, boasting an impressive year-on-year growth rate exceeding 100%.</p><p><br></p><p>Comprising a talented workforce of over 700 professionals across diverse domains, Landmark Digital spearheads various functions including Enterprise and E-commerce Tech, Product Management, User Design, and MarTech, among others. With our futuristic outlook, we are committed to delivering seamless digital experiences to our customers.</p><p><br></p><p><strong>Job Specification - </strong></p><p>We are looking for a Lead AI Architect to lead the design and architecture of AI products, from problem definition and technical discovery through production delivery and continuous improvement. You will turn business and product goals into secure, scalable, measurable AI solutions and help teams choose the right approach across a fast-changing AI landscape.</p><p><br></p><p>You will work closely with product owners, enterprise architects, engineering, data, security and operations teams. This is a hands-on technical leadership role: you will own solution architecture, validate critical design choices through prototypes and reference implementations, and guide teams through delivery.</p><p><br></p><p><strong>Key Focus Areas:</strong></p><ul><li>Partner with product owners to define AI use cases, user journeys, feasibility, business outcomes and acceptance criteria. Challenge when conventional software or analytics is a better fit than AI.</li><li>Lead end-to-end AI product architecture across experience, application, model, data, integration and infrastructure layers. Document decisions, trade-offs, dependencies and non-functional requirements.</li><li>Design appropriate solutions using predictive ML, generative AI, retrieval-augmented generation (RAG), multimodal models and agentic workflows. Use autonomous or multi-agent designs only where they add value.</li><li>Work with enterprise architects to align solutions with target architectures, integration patterns, platform standards and governance. Build reusable reference architectures and components without duplicating enterprise capabilities.</li><li>Evaluate models, platforms, frameworks and vendors through structured experiments. Recommend build-versus-buy decisions based on quality, security, latency, total cost, portability and operating needs.</li><li>Guide engineering teams through implementation, architecture and code reviews, integration and production readiness. Prototype high-risk assumptions and mentor engineers and other architects.</li><li>Embed responsible AI and security by design: privacy, access controls, permission-aware retrieval, tenant isolation, prompt-injection defenses, safe tool use, audit trails and human approval for high-impact actions.</li><li>Define evaluation, testing, monitoring and lifecycle controls for models, prompts, retrieval and agents. Plan fallbacks, failure handling, rollbacks and incident ownership with platform and operations teams.</li><li>Track the AI landscape and translate developments into practical roadmaps and guidance. Communicate decisions clearly to technical teams, product owners and senior stakeholders.</li></ul><p><br></p><p><strong>Additional experience</strong></p><ul><li>Regulated or enterprise environments; AI platform/CoE design; Model Context Protocol (MCP) and other tool-integration patterns; knowledge graphs; model-serving and open-weight deployment; domain-specific AI validation; architecture or cloud certifications; mentoring across multiple product teams. Specific frameworks and certifications are advantages, not substitutes for delivery evidence.</li></ul><p><br></p><p><strong>Knowledge, Skills &amp; Experience Relevant Job Experience</strong></p><ul><li>A strong track record in software, solution or AI architecture, with evidence of shipping and operating enterprise-grade products. Indicative experience: 8+ years in engineering/architecture, including 3+ years working on AI/ML solutions; equivalent demonstrated experience is welcome.</li><li>Direct experience taking an LLM-based or agentic product into production, beyond demos and proofs of concept. Ability to explain design choices, evaluation results, operating costs and lessons from real failures.</li><li>Broad understanding of the AI landscape: foundation and open-weight models, conventional ML, RAG, embeddings, retrieval/reranking, context engineering, fine-tuning, multimodal systems and agent orchestration. Sound judgment about when each is appropriate.</li><li>Hands-on ability to prototype and review production code, preferably in Python and at least one product/backend stack. Strong API, distributed-system, data-pipeline and enterprise integration design skills.</li><li>Experience with at least one major cloud and its AI services, plus containerized or managed deployment, CI/CD, infrastructure automation, MLOps/LLMOps and observability.</li><li>Practical experience with AI evaluation, grounding quality, safety testing, model/prompt versioning and cost/latency optimization. Familiarity with identity, least privilege, data boundaries and secure tool/API access.</li><li>Ability to influence without relying on reporting authority, resolve architectural trade-offs and work effectively with enterprise architects, engineering teams and product owners.</li><li>Clear written and verbal communication: architecture diagrams, decision records, delivery guidance and explanations suitable for business audiences.</li><li>Degree in computer science, engineering or a related field, or equivalent practical experience.</li></ul><p><br></p><p><strong>What Success Looks Like</strong></p><ul><li>Product goals become clear, agreed architectures and measurable delivery/evaluation criteria.</li><li>AI products meet agreed quality, safety, reliability, latency and cost targets in production.</li><li>Teams reuse approved patterns, and architecture decisions remain aligned with enterprise standards.</li><li>Product owners and engineers can make faster, better-informed trade-offs as the AI landscape changes.</li></ul><p><br></p>

<ul><li><p>Design and implement scalable solutions to enhance system reliability and performance.</p></li><li><p>Collaborate with development teams to integrate reliability practices into the software development lifecycle.</p></li><li><p>Monitor and analyze system performance metrics to identify and resolve issues proactively.</p></li><li><p>Develop and maintain automated monitoring and alerting systems to ensure rapid detection of potential problems.</p></li><li><p>Create and enforce best practices for incident management and response.</p></li><li><p>Work on capacity planning and resource optimization to ensure efficient use of Azure services.</p></li><li><p>Implement disaster recovery strategies to safeguard data and services.</p></li><li><p>Provide technical leadership and guidance to junior engineers and other stakeholders.</p></li><li><p>Contribute to the development of documentation for system architecture, processes, and procedures.</p></li><li><p>Stay updated with the latest Azure technologies and industry best practices to drive continuous improvement.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Proven experience in a similar SRE role, with a focus on Azure cloud services.</p></li><li><p>Strong understanding of system design principles and software architecture.</p></li><li><p>Proficiency in scripting and programming languages such as Python, PowerShell, or Bash.</p></li><li><p>Experience with Azure services including VMs, Storage, Networking, and Monitoring tools.</p></li><li><p>Knowledge of continuous integration/continuous deployment (CI/CD) pipelines and tools.</p></li><li><p>Familiarity with containerization technologies like Docker and orchestration platforms such as Kubernetes.</p></li><li><p>Ability to work in a fast-paced, agile environment with a focus on delivering high-quality results.</p></li><li><p>Excellent problem-solving skills with a proactive approach to identifying and mitigating issues.</p></li><li><p>Strong communication skills to effectively collaborate with cross-functional teams.</p></li><li><p>Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</p></li></ul><p><strong>Primary Skills:</strong></p><ul><li><p>Azure cloud services</p></li><li><p>Incident management</p></li><li><p>Scripting/programming</p></li></ul><p><strong>Key Skills:</strong></p><ul><li><p>Docker</p></li><li><p>Kubernetes</p></li><li><p>CI/CD</p></li><li><p>Python</p></li><li><p>PowerShell</p></li><li><p>Bash</p></li><li><p>Monitoring tools</p></li><li><p>Networking</p></li><li><p>Containerization</p></li><li><p>Performance tuning</p></li></ul><br><p><strong>Skills</strong></p><p>Azure cloud services</p><p>Incident management</p><p>Scripting/programming</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><b>Company:</b>Qualcomm Engineering FZ LLC<br><b>Job Area:</b>Engineering Group, Engineering Group &gt; Software Engineering<br><p><u><b>General Summary:</b></u></p><br><br><br><p><b><span>Role Overview</span></b></p><br><br><p><span><span>We are seeking a highly experienced and entrepreneurial Solutions Architect to drive the adoption of next-generation AI-powered solutions across the Middle East. This role sits at the intersection of Customer Engineering, Solution Architecture, Edge AI, Cloud AI, and Industry Transformation.</span></span></p><br><br><p><span><span>The successful candidate will work closely with customers, partners, and internal engineering teams to design, architect, and deploy end-to-end intelligent systems spanning edge devices, IoT platforms, cloud infrastructure, AI/ML workloads, robotics, drones, and smart city applications.</span></span></p><br><br><p><span><span>This is a unique opportunity to shape the future of AI, 6G, edge computing, and connected ecosystems while working on large-scale transformational projects</span></span>.</p><br><br><br><p><u><b><span>Key Responsibilities</span></b></u><span><u>&nbsp;<b>will include</b></u></span></p><br><br><br><p><b><span>End-to-End Solution Architecture</span></b></p><br><br><ul><li><p><span><span>Design and architect end-</span><span>to</span><span>-end AI and digital transformation solutions from edge devices to cloud platforms.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Translate customer requirements into scalable technical architectures and deployment strategies.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Drive architecture decisions across hardware, software, connectivity, AI models, cloud services, and system integration.</span></span></p><br><br></li></ul><br><p><b><span>AI &amp; Edge Computing</span></b></p><br><br><ul><li><p><span><span>Enable deployment and optimization of AI/ML workloads across Edge and Cloud environments.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Understand trade-offs involving latency, power consumption, model accuracy, memory constraints, and system performance.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Guide customers on AI model deployment, optimization, quantization, inference acceleration, and system scaling.</span></span></p><br><br></li></ul><br><p><b><span>Customer Engagement &amp; Technical Leadership</span></b></p><br><br><ul><li><p><span><span>Serve as a trusted technical advisor throughout the customer journey, from discovery and PoC to deployment and production scaling.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Collaborate with key stakeholders to define solution roadmaps and success metrics.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Lead technical workshops, architecture reviews, and executive-level discussions.</span></span></p><br><br></li></ul><br><p><b><span>Platform &amp; Cloud Architecture</span></b></p><br><br><ul><li><p><span><span>Architect scalable cloud-native and hybrid solutions supporting millions of connected devices.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Design data pipelines, data lakes, analytics platforms, and AI-enabled backend services.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Develop architectures supporting high availability, security, multi-tenancy, and enterprise-grade scalability.</span></span></p><br><br></li></ul><br><p><u><b><span>Preferred Qualifications</span></b></u></p><br><br><br><p><b><span>Technical Expertise</span></b></p><br><br><ul><li><p><span><span>Strong experience in:&nbsp;</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Solution Architecture</span></span></p><br><br></li></ul><br><ul><li><p><span><span>AI/ML Systems</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Edge Computing</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Cloud Platforms (AWS, Azure, GCP)</span></span></p><br><br></li></ul><br><ul><li><p><span><span>IoT Platforms</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Distributed Systems</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Data Engineering</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Software Architecture</span></span></p><br><br></li></ul><br><p><u><b><span>Desired Background</span></b></u></p><br><br><ul><li><p><span><span>Experience building and deploying end-to-end intelligent systems spanning Edge, Cloud, and AI.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Demonstrated expertise in customer-facing technical roles such as:&nbsp;</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Solutions Architect</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Field Applications Engineer</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Customer Engineer</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Technical Consultant</span></span></p><br><br></li></ul><br><ul><li><p><span><span>AI Platform Architect</span></span></p><br><br></li></ul><br><p><u><b><span>What Will Make You Stand Out</span></b></u></p><br><br><ul><li><p><span><span>Experience with drones, robotics, smart cities, industrial IoT, or large-scale AI transformation initiatives.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Strong entrepreneurial mindset with a proven ability to build new solutions and influence technical strategy.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Ability to connect technology capabilities with real-world business outcomes.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Arabic language skills are advantageous but not mandatory.</span></span></p><br><br></li></ul><br><p><u><b><span>Ideal Candidate Profile</span></b></u></p><br><br><p><span><span>We're looking for a builder, innovator, and problem-solver who can bridge business needs and advanced technology. The ideal candidate combines deep technical expertise with customer engagement skills and can architect solutions across the complete stack, from edge devices and AI models to cloud platforms and enterprise-scale deployments.</span></span></p><br><br><br><p><u><b><span>Why Join Qualcomm</span></b></u></p><br><br><p><span><span>At Qualcomm, you’ll work at the intersection of AI silicon, system architecture, and real</span></span><span>‑</span><span><span>world deployment. You will engage directly with strategic customers, influence next</span></span><span>‑</span><span><span>generation AI data center platforms, and help define scalable, power</span></span><span>‑</span><span><span>efficient infrastructure for the AI era. This role provides a unique opportunity to shape both technology direction and customer outcomes, while working with world</span></span><span>‑</span><span><span>class engineering and product teams.</span></span></p><br><br><br><p><b><u>What's on Offer</u></b></p><br><br><p>Apart from working with great people, we offer the below:</p><br><br><ul><li><p>Salary including housing &amp; transport allowance</p><br><br></li><li><p>Stock (RSU's) and performance related bonus</p><br><br></li><li><p>16 weeks fully paid Maternity Leave</p><br><br></li><li><p>6 weeks fully paid Paternity Leave</p><br><br></li><li><p>Employee stock purchase scheme</p><br><br></li><li><p>Child Education Allowance</p><br><br></li><li><p>Relocation and immigration support (if needed)</p><br><br></li><li><p>Life and Medical Insurance</p><br><br></li><li><p>Live+ Well Reimbursement for health and recreational membership fees</p><br><br></li></ul><br><p><u><b>Minimum Qualifications:</b></u></p><br><br>• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. <br> OR<br>Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.<br> OR<br>PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.<br>• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.<br><br><br><br><br><br><br><br><br><br><p><span>*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.</span></p><br><br><br><p><span>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&nbsp;</span><span>disability-accomodations@qualcomm.com</span><span>&nbsp;or call Qualcomm's toll-free number found&nbsp;</span>here<span>. 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).</span></p><br><br><br><br><br><p><span>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.</span></p><br><br><br><p><b>To all Staffing and Recruiting Agencies</b>: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 <span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>resumes/applications.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p><br><br><br><p><span>If you would like more information about this role, please contact </span>Qualcomm Careers<span>.</span></p><br><br><br> </div>

We're Hiring: Senior Rust Engineer<p><strong>Location:</strong> United Arab Emirates (Remote)</p><p><strong>Employment Type:</strong> Full-Time</p><p><strong>Experience Level:</strong> Senior</p><p><strong>Work Arrangement:</strong> Fully Remote</p>About Us<p>We are a globally focused organization committed to building secure, scalable, resilient, and high-performance software products and digital platforms across diverse markets.</p><p>Our engineering teams collaborate across Software Engineering, Product, Platform, Cloud, Infrastructure, Security, Data, DevOps, and Operations to develop reliable systems that support critical business processes and evolving customer requirements.</p>The Role<p>We are seeking an experienced <strong>Senior Rust Engineer</strong> to design, develop, optimize, test, and maintain high-performance software systems using Rust.</p><p>The ideal candidate will combine strong Rust expertise with deep knowledge of systems programming, concurrency, distributed systems, networking, performance engineering, APIs, cloud infrastructure, and secure software development. The role will contribute to technically demanding applications and platforms where reliability, memory safety, efficiency, and predictable performance are critical.</p>Key Responsibilities<ul><li>Design, develop, test, deploy, and maintain production-grade software using Rust.</li><li>Build secure, reliable, maintainable, and high-performance systems.</li><li>Translate complex business and technical requirements into robust software solutions.</li><li>Participate in software architecture, system design, and technical decision-making.</li><li>Develop performance-sensitive applications and services using Rust.</li><li>Apply Rust ownership, borrowing, lifetimes, traits, generics, and type-system capabilities effectively.</li><li>Design software using idiomatic Rust and established engineering best practices.</li><li>Develop concurrent and parallel applications using appropriate Rust concurrency models.</li><li>Implement asynchronous applications using async Rust, futures, tasks, and appropriate runtimes.</li><li>Design and develop scalable backend services, APIs, and distributed components.</li><li>Build RESTful APIs, gRPC services, and other service interfaces where appropriate.</li><li>Develop event-driven services and asynchronous processing systems.</li><li>Integrate applications with message brokers, queues, streaming platforms, and external services.</li><li>Develop systems that interact with databases, caches, storage platforms, and distributed data systems.</li><li>Design efficient data structures, algorithms, and processing pipelines.</li><li>Optimize CPU utilization, memory consumption, latency, throughput, and I/O performance.</li><li>Conduct profiling, benchmarking, load testing, and performance analysis.</li><li>Identify bottlenecks and implement targeted performance improvements.</li><li>Develop efficient memory-management and resource-management strategies.</li><li>Ensure applications handle errors, failures, timeouts, retries, and resource exhaustion appropriately.</li><li>Design systems with fault tolerance, graceful degradation, and recovery mechanisms.</li><li>Develop secure authentication and authorization mechanisms.</li><li>Implement appropriate encryption, secrets management, input validation, and access controls.</li><li>Apply secure coding principles and protect applications against common security vulnerabilities.</li><li>Collaborate with cybersecurity teams to identify and remediate software-security risks.</li><li>Develop unit, integration, functional, system, and end-to-end tests.</li><li>Establish effective testing strategies for complex and performance-sensitive systems.</li><li>Improve automated test coverage and software quality.</li><li>Conduct code reviews and provide detailed technical feedback.</li><li>Maintain high standards for code quality, readability, maintainability, and reliability.</li><li>Investigate production incidents, software defects, crashes, memory issues, and performance problems.</li><li>Perform root-cause analysis and implement permanent corrective actions.</li><li>Analyze logs, traces, metrics, stack traces, core dumps, and diagnostic information.</li><li>Develop observability capabilities covering metrics, structured logging, tracing, health checks, and system diagnostics.</li><li>Work with DevOps and platform teams to improve deployment and operational reliability.</li><li>Develop and maintain CI/CD pipelines for Rust applications.</li><li>Build and maintain containerized Rust applications using Docker and Kubernetes where appropriate.</li><li>Develop software for cloud and distributed infrastructure environments.</li><li>Integrate Rust applications with cloud services, storage systems, networking services, and managed platforms.</li><li>Support infrastructure-as-code and automated deployment practices where relevant.</li><li>Design applications for high availability, resilience, disaster recovery, and business continuity.</li><li>Participate in capacity planning, load testing, stress testing, and scalability assessments.</li><li>Design software capable of operating efficiently under high workloads and constrained resources.</li><li>Develop reusable Rust crates, libraries, SDKs, frameworks, and internal engineering components.</li><li>Establish reusable coding patterns and technical standards for Rust development.</li><li>Evaluate third-party Rust crates for security, stability, maintainability, licensing, and performance.</li><li>Manage dependencies and address dependency vulnerabilities and compatibility issues.</li><li>Maintain Cargo configurations, workspace structures, build processes, and dependency management.</li><li>Configure and maintain appropriate Rust compiler, toolchain, linting, formatting, and build standards.</li><li>Use tools such as Cargo, rustfmt, Clippy, testing frameworks, profilers, and debugging utilities effectively.</li><li>Design and implement integrations with internal platforms and external systems.</li><li>Maintain clear API contracts, schemas, interfaces, and compatibility requirements.</li><li>Participate in migration of legacy components to Rust where technical and business value justify modernization.</li><li>Assess existing systems and identify opportunities for performance, reliability, security, or maintainability improvements.</li><li>Collaborate with Product Managers, Architects, QA Engineers, DevOps Engineers, Security Engineers, Data Engineers, and other stakeholders.</li><li>Participate in Agile planning, technical refinement, estimation, reviews, and retrospectives.</li><li>Break complex technical requirements into manageable engineering tasks.</li><li>Estimate technical effort, identify dependencies, and communicate delivery risks.</li><li>Lead technical discovery, prototypes, proofs of concept, and architectural experiments.</li><li>Evaluate emerging Rust libraries, frameworks, runtimes, tooling, and systems-programming techniques.</li><li>Stay current with developments in Rust, systems programming, distributed systems, cloud computing, and software security.</li><li>Develop and maintain architecture documentation, technical specifications, API documentation, and operational runbooks.</li><li>Provide technical guidance and mentoring to junior and mid-level engineers.</li><li>Support engineers in debugging complex systems and performance issues.</li><li>Lead technical initiatives and contribute to engineering roadmaps.</li><li>Promote engineering practices focused on memory safety, security, reliability, performance, automation, and maintainability.</li><li>Identify opportunities to improve development productivity, system performance, operational efficiency, and software quality.</li></ul>Key Performance Indicators<ul><li>Rust development delivery performance</li><li>Production software quality</li><li>Production defect rate</li><li>Code-review compliance</li><li>Automated test coverage</li><li>Unit-test coverage</li><li>Integration-test coverage</li><li>Application availability</li><li>System uptime</li><li>Service reliability</li><li>Application latency</li><li>Processing throughput</li><li>CPU utilization efficiency</li><li>Memory utilization efficiency</li><li>Memory safety defect rate</li><li>Resource utilization efficiency</li><li>Crash and panic frequency</li><li>Error rate</li><li>Mean time to detection</li><li>Mean time to resolution</li><li>Production incident frequency</li><li>Repeat incident rate</li><li>Root-cause resolution effectiveness</li><li>Performance improvement delivery</li><li>Benchmark performance</li><li>Load-test results</li><li>Scalability performance</li><li>Concurrent-processing efficiency</li><li>Database performance</li><li>API response-time performance</li><li>Message-processing reliability</li><li>CI/CD pipeline success rate</li><li>Deployment success rate</li><li>Release reliability</li><li>Rollback frequency</li><li>Security vulnerability remediation</li><li>Dependency vulnerability resolution</li><li>Secure-development compliance</li><li>Technical-debt reduction</li><li>Legacy-component modernization</li><li>Observability coverage</li><li>Monitoring effectiveness</li><li>Documentation completeness</li><li>Reusable-component adoption</li><li>Engineering productivity</li><li>Stakeholder satisfaction</li><li>Mentoring effectiveness</li><li>Continuous-improvement delivery</li></ul>Ideal Candidate<p>The successful candidate should have strong experience in <strong>Rust software development, systems programming, backend engineering, distributed systems, performance engineering, networking, cloud-native applications, or other high-performance software environments</strong>, preferably within technology, financial services, cybersecurity, telecommunications, infrastructure, SaaS, or other technically demanding organizations.</p><p>The candidate should demonstrate:</p><ul><li>Strong professional experience developing production software using Rust.</li><li>Deep understanding of Rust ownership, borrowing, lifetimes, traits, generics, enums, pattern matching, and type-system principles.</li><li>Strong knowledge of idiomatic Rust and modern Rust development practices.</li><li>Proven experience building reliable and performance-sensitive software.</li><li>Strong understanding of concurrency, parallelism, asynchronous programming, and synchronization.</li><li>Experience with async Rust and commonly used asynchronous runtimes.</li><li>Strong knowledge of data structures, algorithms, memory management, and resource efficiency.</li><li>Experience designing scalable backend services and distributed systems.</li><li>Strong understanding of REST APIs, gRPC, networking, and service-oriented architectures.</li><li>Experience with databases, caching systems, message brokers, and distributed storage technologies.</li><li>Strong performance-analysis and optimization capabilities.</li><li>Experience with profiling, benchmarking, load testing, and performance tuning.</li><li>Strong understanding of fault tolerance, resilience, availability, and distributed-system principles.</li></ul>

Role: Technical Architect (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $60 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking a Senior Technical Architect to work on a contract basis. The role involves designing and implementing technical solutions to address complex business challenges while ensuring scalability, security, and efficiency. You will collaborate with cross-functional teams to align technology with strategic objectives and drive innovation across the platform.<br>Key Responsibilities:• Design, evaluate, and recommend technical solutions to meet business and technical requirements.• Lead architectural decisions to ensure system scalability, performance, and reliability.• Collaborate with engineering, product, and operations teams to implement and optimize solutions.• Provide technical guidance and mentorship to junior architects and engineers.• Assess emerging technologies and industry trends to inform architectural roadmaps.<br>Required Skills & Qualifications:• Minimum 7 years of experience in software architecture, with a focus on scalable systems.• Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure as code.• Strong background in designing distributed systems and microservices architectures.• Experience with data engineering, security best practices, and compliance frameworks.• Excellent problem-solving skills and ability to articulate technical concepts to stakeholders.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge solutions. You will have the chance to shape the technical direction of high-impact projects with a collaborative and results-driven team.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

We're Hiring: Autonomous Vehicle Technology Manager Location: United Arab Emirates (Remote) Employment Type: Full-Time Experience Level: Mid-Level to Senior Work Arrangement: Fully Remote About UsWe are a globally focused organization committed to advancing intelligent mobility, autonomous transportation, connected vehicle technologies, and data-driven mobility solutions across diverse markets. Our teams collaborate across Automotive Engineering, Robotics, Artificial Intelligence, Software, Systems Engineering, Safety, Operations, Infrastructure, Product, Data, Regulatory, and technology partners to develop reliable and scalable autonomous vehicle solutions. The Role We are seeking an experienced Autonomous Vehicle Technology Manager to lead the technology strategy, development, integration, validation, deployment, and continuous improvement of autonomous vehicle systems. The ideal candidate will provide technical and operational leadership across autonomous driving technologies, including perception, localization, mapping, planning, control, vehicle integration, simulation, connectivity, safety, fleet operations, and intelligent mobility platforms. Key Responsibilities Develop and implement autonomous vehicle technology strategies aligned with business, mobility, safety, and operational objectives. Define technology roadmaps covering autonomous driving, vehicle intelligence, connectivity, sensing, software, and supporting infrastructure. Lead multidisciplinary teams across autonomous systems, robotics, software, AI, controls, systems engineering, and vehicle integration. Manage autonomous vehicle technology programs from concept and architecture through development, testing, deployment, and operational optimization. Evaluate autonomous driving technologies, platforms, sensors, software architectures, and technology partners. Define system requirements, technical specifications, interfaces, performance targets, and validation criteria. Oversee autonomous driving system architecture and integration across vehicle hardware and software. Manage perception systems using cameras, LiDAR, radar, ultrasonic sensors, GNSS, IMU, and related technologies. Oversee object detection, classification, tracking, free-space detection, lane detection, and environmental perception capabilities. Lead localization and mapping technologies, including GNSS, inertial systems, HD maps, SLAM, and map-management processes. Oversee motion-planning and decision-making systems for route planning, trajectory generation, obstacle avoidance, and behavioral planning. Coordinate vehicle control systems covering steering, braking, acceleration, stability, and low-level actuation. Ensure effective integration between autonomous software and vehicle electronic control systems. Manage vehicle-to-cloud, vehicle-to-infrastructure, fleet-management, and connectivity technologies. Establish simulation, virtual testing, scenario generation, and digital-validation strategies. Develop test plans covering simulation, hardware-in-the-loop, software-in-the-loop, closed-course testing, and controlled public-road testing where permitted. Coordinate autonomous vehicle validation across different weather, traffic, road, lighting, and operational conditions. Define operational design domains and ensure autonomous systems operate within approved technical and environmental boundaries. Establish technology performance requirements for safety, reliability, availability, latency, accuracy, and system robustness. Monitor autonomous-system performance using vehicle telemetry, logs, sensor data, operational data, and fleet analytics. Lead analysis of disengagements, system failures, near misses, unexpected behavior, and operational anomalies. Conduct root-cause analysis and coordinate corrective and preventive actions for autonomous-system issues. Establish processes for software releases, configuration management, version control, rollback, and deployment validation. Coordinate over-the-air software updates and ensure appropriate testing and release controls. Work closely with cybersecurity teams to protect vehicles, communications, software, cloud platforms, and operational systems. Establish autonomous vehicle safety processes covering hazard identification, risk assessment, fail-safe behavior, redundancy, and fault handling. Support functional safety and safety-assurance activities throughout technology development and deployment. Coordinate with regulatory, legal, compliance, and public-sector stakeholders on autonomous vehicle requirements and approvals. Manage autonomous vehicle technology vendors, OEMs, sensor suppliers, software providers, engineering partners, and system integrators. Define supplier technical requirements, performance standards, integration responsibilities, service levels, and acceptance criteria. Monitor vendor performance, technical quality, delivery schedules, system reliability, and support responsiveness. Manage technology budgets, development costs, deployment investments, and lifecycle expenditures. Evaluate technology investments based on performance, scalability, risk, total cost of ownership, and expected operational value. Support autonomous fleet deployment, operational readiness, vehicle commissioning, and technology ramp-up. Develop procedures for autonomous vehicle intervention, remote assistance, recovery, roadside incidents, and system failures. Coordinate with Fleet and Operations teams to ensure autonomous vehicles can be safely maintained and operated. Establish vehicle health monitoring, predictive maintenance, diagnostics, and remote-support capabilities. Evaluate emerging technologies including advanced AI models, sensor fusion, edge computing, V2X, simulation, digital twins, and autonomous fleet intelligence. Identify opportunities to improve autonomous driving performance through machine learning, data engineering, simulation, and continuous system learning. Establish data-management standards for sensor data, vehicle telemetry, maps, scenarios, testing datasets, and operational records. Ensure appropriate data governance, privacy, cybersecurity, and access controls for autonomous vehicle data. Develop technical documentation covering architecture, requirements, testing, deployment, operation, maintenance, and troubleshooting. Coordinate training for engineering, operations, safety, maintenance, support, and technical teams. Establish technology governance, engineering standards, review processes, and lifecycle-management practices. Provide leadership with regular reports covering autonomous-system performance, safety, technology maturity, projects, costs, risks, and improvement opportunities. Key Performance Indicators Autonomous driving system availability Autonomous operation uptime Successful autonomous mission rate Autonomous miles or kilometers completed Disengagement rate Intervention frequency Safety-critical event frequency Collision and incident rate Near-miss frequency Perception accuracy Object detection accuracy False-positive and false-negative rates Localization accuracy Map accuracy and freshness Planning success rate Trajectory execution accuracy Control-system performance Route completion rate Autonomous operating-domain coverage System latency Sensor availability Sensor fault rate Vehicle communication reliability Software defect rate Software release success rate Regression-test coverage Simulation scenario coverage Simulation-to-real-world correlation Validation and test completion Mean time to detect system faults Mean time to resolve technology issues Fleet technology reliability Vehicle health-monitoring effectiveness Predictive maintenance effectiveness Technology project schedule adherence Technology project budget adherence Supplier SLA performance System integration success rate Cybersecurity compliance Safety-assurance compliance Technology deployment scalability Autonomous fleet operating cost Technology lifecycle cost Continuous-improvement performance Ideal Candidate The successful candidate should have strong experience in autonomous vehicles, autonomous driving, robotics, intelligent transportation systems, automotive technology, robotics software, or advanced mobility platforms, preferably within automotive, logistics, transportation, robotics, or technology environments. The candidate should demonstrate:Strong understanding of autonomous vehicle system architecture and technology development. Experience managing autonomous driving or intelligent mobility technology programs. Knowledge of perception, sensor fusion, localization, mapping, planning, and vehicle control. Experience with cameras, LiDAR, radar, GNSS, IMU, ultrasonic sensors, and automotive sensing systems. Strong understanding of robotics, AI, machine learning, computer vision, and autonomous decision-making. Experience with autonomous vehicle simulation, scenario testing, validation, and system verification. Knowledge of vehicle software, embedded systems, ECUs, CAN, automotive networks, and vehicle integration. Experience with cloud platforms, telemetry, data pipelines, fleet management, or connected-vehicle technologies. Strong understanding of functional safety, autonomous-system safety, risk assessment, and fail-safe design. Knowledge of cybersecurity and secure software practices for connected and autonomous vehicles. Experience managing OEMs, technology vendors, sensor suppliers, software providers, and system integrators. Strong analytical skills with the ability to interpret vehicle logs, sensor data, operational metrics, and system performance. Experience with software development lifecycle, configuration management, testing, release management, and deployment. Strong project-management, budgeting, planning, and cross-functional leadership capabilities. Ability to translate complex technology requirements into practical operational solutions. Strong problem-solving and root-cause-analysis capabilities. Excellent communication and technical presentation skills.

We're Hiring: Senior Ruby on Rails Developer<p><strong>Location:</strong> United Arab Emirates (Remote)</p><p><strong>Employment Type:</strong> Full-Time</p><p><strong>Experience Level:</strong> Senior</p><p><strong>Work Arrangement:</strong> Fully Remote</p>About Us<p>We are a globally focused organization committed to building scalable, secure, reliable, and customer-centered digital products and platforms across diverse markets.</p><p>Our engineering teams collaborate across Product, Software Engineering, Design, Data, Cloud, DevOps, Security, Infrastructure, and Operations to deliver high-quality web applications, APIs, and digital services that support critical business processes and evolving customer needs.</p>The Role<p>We are seeking an experienced <strong>Senior Ruby on Rails Developer</strong> to design, develop, test, optimize, and maintain scalable web applications and backend services using Ruby and Ruby on Rails.</p><p>The ideal candidate will combine strong Ruby and Rails expertise with modern software-engineering practices, API development, database optimization, application security, cloud deployment, testing, and system architecture. The role will contribute to product development, platform modernization, technical improvements, and engineering standards while providing technical guidance to other developers.</p>Key Responsibilities<ul><li>Design, develop, test, deploy, and maintain production-grade Ruby on Rails applications.</li><li>Build scalable, secure, reliable, and maintainable web applications and backend services.</li><li>Translate product requirements and business needs into robust technical solutions.</li><li>Participate in application architecture, system design, technical planning, and engineering decisions.</li><li>Develop Rails applications using clean, maintainable, and idiomatic Ruby code.</li><li>Design and implement application models, controllers, services, jobs, APIs, and supporting components.</li><li>Apply appropriate object-oriented and modular design principles.</li><li>Develop reusable application components and shared libraries.</li><li>Design and develop RESTful APIs and backend services.</li><li>Develop API endpoints with appropriate validation, authentication, authorization, and error handling.</li><li>Maintain clear API contracts, documentation, versioning, and compatibility standards.</li><li>Integrate Rails applications with internal platforms, third-party services, payment providers, external APIs, and enterprise systems.</li><li>Develop asynchronous processing and background jobs using appropriate Rails and Ruby technologies.</li><li>Design reliable job-processing workflows for scheduled, event-driven, and long-running tasks.</li><li>Implement appropriate retry, timeout, failure-handling, and idempotency mechanisms.</li><li>Design and optimize relational database structures for Rails applications.</li><li>Work extensively with PostgreSQL, MySQL, or comparable relational databases.</li><li>Develop efficient Active Record queries, associations, scopes, validations, and transactions.</li><li>Optimize database queries, indexes, joins, transactions, and data-access patterns.</li><li>Identify and resolve N+1 queries, inefficient database access, and application-level performance bottlenecks.</li><li>Design appropriate caching strategies to improve application responsiveness and scalability.</li><li>Work with Redis or comparable caching and data-storage technologies where appropriate.</li><li>Develop background processing and event-driven workflows using appropriate queueing technologies.</li><li>Design applications for horizontal scalability and reliable operation under increasing workloads.</li><li>Implement appropriate resilience, error handling, monitoring, and recovery mechanisms.</li><li>Develop authentication and authorization functionality using secure application practices.</li><li>Protect applications against common web vulnerabilities including injection, authentication weaknesses, insecure access controls, and cross-site attacks.</li><li>Apply secure coding practices throughout the development lifecycle.</li><li>Collaborate with cybersecurity teams to identify and remediate application vulnerabilities.</li><li>Manage sensitive data appropriately and follow applicable privacy and data-protection requirements.</li><li>Develop unit, integration, request, system, and end-to-end tests.</li><li>Build and maintain automated testing suites using appropriate Ruby and Rails testing frameworks.</li><li>Maintain strong test coverage for critical application functionality and business logic.</li><li>Implement test-driven or behavior-driven development practices where appropriate.</li><li>Conduct code reviews and provide constructive technical feedback.</li><li>Maintain high standards for code quality, readability, maintainability, and testability.</li><li>Investigate production incidents, application failures, data issues, and performance problems.</li><li>Perform root-cause analysis and implement permanent corrective actions.</li><li>Analyze application logs, metrics, traces, errors, and performance information.</li><li>Implement application observability through structured logging, monitoring, metrics, tracing, and health checks.</li><li>Work with DevOps and platform teams to improve application deployment and operational reliability.</li><li>Develop and maintain CI/CD pipelines for Ruby on Rails applications.</li><li>Support containerized Rails applications using Docker and Kubernetes where applicable.</li><li>Deploy and operate Rails applications in cloud environments.</li><li>Work with AWS, Azure, Google Cloud, or comparable cloud platforms.</li><li>Integrate applications with cloud databases, object storage, queues, monitoring platforms, and other managed services.</li><li>Support infrastructure-as-code and automated deployment practices where relevant.</li><li>Implement appropriate application configuration, secrets management, environment management, and deployment controls.</li><li>Design applications with availability, disaster recovery, backup, and business-continuity requirements in mind.</li><li>Participate in load testing, capacity planning, scalability assessments, and performance optimization.</li><li>Profile Ruby and Rails applications to identify CPU, memory, database, network, and application bottlenecks.</li><li>Optimize Ruby code, Rails request processing, database access, background jobs, and application architecture.</li><li>Monitor application response times, throughput, error rates, resource utilization, and system health.</li><li>Develop and maintain reusable Rails engines, gems, libraries, service objects, and technical components where appropriate.</li><li>Evaluate third-party Ruby gems for functionality, security, compatibility, licensing, and maintainability.</li><li>Manage Ruby and gem dependencies and coordinate upgrades to supported versions.</li><li>Plan and execute Ruby, Rails, framework, and dependency upgrades while minimizing application disruption.</li><li>Review legacy Rails code and identify opportunities for modernization, refactoring, and technical-debt reduction.</li><li>Support application migrations, platform modernization, architecture changes, and major Rails upgrades.</li><li>Assess technical risks associated with legacy dependencies, unsupported components, and architectural limitations.</li></ul>Key Performance Indicators<ul><li>Ruby on Rails development delivery performance</li><li>Production application quality</li><li>Production defect rate</li><li>Code-review compliance</li><li>Automated test coverage</li><li>Critical-function test coverage</li><li>Application availability</li><li>System uptime</li><li>API reliability</li><li>API response time</li><li>Application response time</li><li>Request throughput</li><li>Error rate</li><li>Background-job success rate</li><li>Background-job processing latency</li><li>Database query performance</li><li>Database error rate</li><li>N+1 query reduction</li><li>Cache effectiveness</li><li>CPU utilization</li><li>Memory utilization</li><li>Application scalability</li><li>Production incident frequency</li><li>Mean time to detection</li><li>Mean time to resolution</li><li>Repeat incident rate</li><li>Root-cause resolution effectiveness</li><li>CI/CD pipeline success rate</li><li>Deployment success rate</li><li>Release reliability</li><li>Rollback frequency</li><li>Security vulnerability remediation</li><li>Dependency-update compliance</li><li>Ruby and Rails upgrade completion</li><li>Technical-debt reduction</li><li>Legacy-code modernization</li><li>Performance optimization delivery</li><li>Observability coverage</li><li>Monitoring effectiveness</li><li>Documentation completeness</li><li>Reusable-component adoption</li><li>Development productivity</li><li>Stakeholder satisfaction</li><li>Mentoring effectiveness</li><li>Continuous-improvement delivery</li></ul>Ideal Candidate<p>The successful candidate should have strong experience in <strong>Ruby, Ruby on Rails, web application development, backend engineering, REST APIs, relational databases, cloud platforms, and modern software engineering</strong>, preferably within SaaS, e-commerce, financial services, technology, professional services, or other high-volume digital environments.</p><p>The candidate should demonstrate:</p><ul><li>Strong professional experience developing production applications using Ruby on Rails.</li><li>Deep understanding of Ruby syntax, object-oriented programming, modules, classes, blocks, iterators, exceptions, and metaprogramming concepts.</li><li>Strong knowledge of Rails architecture, conventions, Active Record, routing, controllers, views, services, jobs, and middleware.</li><li>Experience developing and maintaining large-scale Rails applications.</li><li>Strong understanding of RESTful API design and backend service architecture.</li><li>Experience developing secure, versioned, documented, and maintainable APIs.</li><li>Strong knowledge of PostgreSQL, MySQL, or comparable relational databases.</li><li>Experience optimizing SQL queries, indexes, transactions, associations, and database performance.</li><li>Strong understanding of Active Record performance and query optimization.</li><li>Experience with Redis, background jobs, queues, caching, and asynchronous processing.</li><li>Experience with Sidekiq or comparable background-processing technologies is highly desirable.</li><li>Strong knowledge of application security and secure web-development practices.</li><li>Experience implementing authentication, authorization, access controls, and data protection.</li><li>Strong automated-testing experience with RSpec, Minitest, Capybara, or comparable tools.</li><li>Experience with test-driven or behavior-driven development practices.</li><li>Strong Git and modern software-development workflow experience.</li><li>Experience with CI/CD pipelines and automated deployment practices.</li><li>Experience with Docker and Kubernetes is highly desirable.</li><li>Experience with AWS, Azure, Google Cloud, or comparable cloud platforms.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p><b>Discover the Opportunity</b></p><br><p>We are seeking a<span>&nbsp;AI Software Architect</span>&nbsp;to join a unique tech venture. The company focuses on cutting edge applications centered around security, data privacy, and AI.</p><br><p>This role offers exceptional long term stability alongside the fast paced innovation of an agile startup environment. You will work alongside a lean tech team, reporting directly to the Tech Product Manager while taking ownership of core software architecture, AI architecture, and hands on development.<br></p><br><p><b>Discover the Role</b></p><br><p>As a Senior AI Software Architect, you will balance technical strategy with active development in a roughly equal split. You will take end to end architectural ownership of user centric applications, AI solutions, and cloud infrastructure supporting a modular platform.<br></p><br><p>You will lead the integration of&nbsp;<span>LLMs, RAG pipelines, and agentic AI systems</span>&nbsp;into reliable, scalable production applications while ensuring cloud native services remain secure, compliant, and observable. This is an individual contributor position designed for a skilled builder who thrives in a fast moving environment.</p><br><p>​</p><br><p><b>Discover the Responsibilities</b></p><br><ul><li><p>Take complete ownership of software, AI, and platform architecture from initial design through production deployment.</p><br></li><li><p>Spend half your time writing hands on code, specifically building and integrating AI solutions using&nbsp;<span>Python, LLMs, RAG, and agentic AI.</span></p><br></li><li><p>Design, deploy, and manage multi tenant microservices infrastructure across AWS cloud environments and&nbsp;<span>Amazon EKS/Kubernetes clusters.</span></p><br></li><li><p>Build and integrate production grade LLM applications, including RAG pipelines, AI agents, and model integrations.</p><br></li><li><p>Embed zero trust networking, privacy by design, and strict security controls across platforms.</p><br></li><li><p>Build and optimize continuous deployment pipelines, automated testing, infrastructure as code, and full stack observability layers.</p><br></li><li><p>Work extensively with&nbsp;<span>DevOps and MLOps tooling</span>, including Terraform, Kubernetes, EKS, CI/CD, and cloud native deployment practices.</p><br></li><li><p>Work on production grade software and AI products built directly for external commercial users.</p><br></li><li><p>Identify and resolve system performance bottlenecks, technical debt, and scalability limitations.<br></p><br></li></ul><p><b>Discover the Requirements</b></p><br><ul><li><p>Minimum 5 to 7 years of relevant experience in software architecture and hands on engineering.</p><br></li><li><p>Strong hands on development skills in&nbsp;<span>Python</span>, with proven experience building and integrating AI solutions.</p><br></li><li><p>Proven commercial experience working with&nbsp;<span>LLMs, RAG, AI agents, or agentic AI architectures.</span></p><br></li><li><p>Proven experience building commercial SaaS products sold directly to customers.</p><br></li><li><p>Deep technical knowledge of&nbsp;<span>AWS and Kubernetes</span>, with hands on experience using&nbsp;<span>Amazon EKS.</span></p><br></li><li><p>Solid grasp of&nbsp;<span>DevOps and MLOps practices, Terraform/infrastructure as code, CI/CD, and cloud native tooling.</span></p><br></li><li><p>Strong understanding of zero trust security, data encryption, and data residency standards.</p><br></li><li><p>Experience designing scalable microservices and production grade AI applications.</p><br></li><li><p>Experience in fast paced startup or scaleup environments is strongly preferred.</p><br></li><li><p>Strong understanding of how to take AI/ML solutions from development through to reliable production deployment.</p><br></li></ul><p>​</p><br><p>Location:&nbsp;Dubai Media City (Onsite)</p><br><p>Benefits:&nbsp;Medical insurance, flight allowance, discretionary bonus, birthday gift after one year</p><br><br> </div>