Python Developer Jobs in UAE

<strong>Overview<br><br></strong>Are you passionate about applying data science and artificial intelligence to solve some of the world’s biggest challenges? So are we! Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At the Esri R&amp;D Center-Sharjah, UAE, we are applying cutting-edge AI, deep learning, and LLM techniques to revolutionize geospatial analysis and derive insight from imagery data.<br><br>Our team develops Deep Learning and LLM models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI and geospatial deep learning.<br><br>As a Software Development Engineer in this role, you will develop foundation and task specific deep learning and LLM models for various modalities of GIS data including Satellite imagery. If you are passionate about AI applied to remote sensing and imagery and developing AI applications, this is the place to be!<br><br><strong>Responsibilities<br><br></strong><ul><li>Develop tools, APIs and pretrained models for DL and LLM workflows for imagery</li><li>Develop foundation models for computer vision, language, location and multimodal data</li><li>Develop AI Agents / Assistants to perform various imagery tasks</li><li>Author and maintain samples showcasing AI/LLM applications in various ArcGIS platforms</li><li>Perform comparative studies of various AI architectures and their applications to solve complex problems using imagery<br><br></li></ul><strong>Requirements<br><br></strong><ul><li>1+ years of experience using Python in data science, deep learning, and LLM</li><li>Self-learner with extensive knowledge of machine learning, deep learning and LLM</li><li>Expertise in one or more of the following areas:</li><ul><li>Traditional and deep learning-based computer vision techniques with the ability to develop deep learning models for computer vision tasks (image classification, object detection, semantic and instance segmentation, GANs, super-resolution, image inpainting, etc.)</li><li>Transformer models applied to computer vision and natural language processing</li><li>Development of AI assistants / Agents to perform specific tasks</li><li>Building from the scratch / finetuning, multi modal foundation models</li></ul><li>Bachelor's degree in computer science, engineering, or related disciplines from IITs and other top-tier engineering colleges</li><li>Existing work authorization for UAE<br></li></ul><strong>Recommended Qualifications<br><br></strong><ul><li>Experience applying deep learning to satellite imagery or geospatial datasets</li><li>Familiarity with ArcGIS suite of products and concepts of GIS</li><li>Practical experience applying deep learning concepts from theory to code, evidenced by at least one significant project (internship, research, or personal portfolio)</li><li>Experience building and orchestrating multi-agent systems with tools like LangGraph, paired with expertise in model fine-tuning, safety controls, and data-driven evaluation techniques to validate agent performance<br><br></li></ul><strong>The Company<br><br></strong>At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.<br><br><strong>If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!<br><br></strong>Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.<br><br>Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.<br><br>

<strong>Job Description<br><br></strong>The Director - AI is responsible for leading the design, development, and deployment of large‑scale, mission‑critical AI systems across Space42’s geospatial, digital twin, and defense portfolios.<br><br>This role combines deep technical authority with end‑to‑end delivery leadership, overseeing the full AI lifecycle — from research and model development to production deployment, scaling, and operational governance.<br><br>The Director - AI leads high‑impact AI programs, ensures technical excellence across the AI stack, and guarantees that AI solutions meet national‑scale, sovereign, and defense‑grade requirements for performance, robustness, security, and explainability.<br><br><strong>Responsibilities<br><br></strong><strong>AI Systems &amp; Technical Leadership<br><br></strong><ul><li>Lead the architecture, development, and deployment of foundational and domain‑specific AI models, with a strong focus on geospatial AI, computer vision, predictive analytics, and decision‑support systems.</li><li>Define and enforce AI system architectures that support large‑scale, secure, and high‑performance deployments across cloud, hybrid, and edge environments.</li><li>Provide hands‑on technical guidance to senior engineers and AI specialists, ensuring best‑in‑class implementation, performance, and scalability.</li><li>Drive adoption of modern AI frameworks, MLOps practices, and engineering standards.<br><br></li></ul><strong>Program Ownership &amp; Delivery<br><br></strong><ul><li>Own AI workstreams across multiple concurrent commercial, government, and defense programs, ensuring delivery on time, on scope, and to quality standards.</li><li>Translate operational, mission, and product requirements into executable AI roadmaps and delivery plans.</li><li>Manage technical risks related to model performance, data quality, scalability, and operational constraints.</li><li>Ensure smooth transition of AI solutions from research to production.<br><br></li></ul><strong>Team Leadership &amp; Capability Building<br><br></strong><ul><li>Lead, mentor, and grow a team of AI engineers, ML researchers, and software engineers.</li><li>Establish technical standards, coding practices, review processes, and quality gates.</li><li>Build long‑term AI capability within the organization through coaching, mentoring, and knowledge sharing.</li><li>Foster a culture of engineering rigor, accountability, and continuous improvement.<br><br></li></ul><strong>Production AI &amp; MLOps<br><br></strong><ul><li>Oversee implementation of robust MLOps pipelines covering training, testing, validation, deployment, monitoring, and retraining.</li><li>Ensure models are production‑ready and operate reliably in high‑availability and constrained environments.</li><li>Monitor model drift, performance degradation, and operational risks, implementing mitigation strategies.</li><li>Stakeholder &amp; Cross‑Functional Collaboration</li><li>Work closely with Product Management, Platform Engineering, Security, and Operations teams.</li><li>Act as a senior technical counterpart in discussions with executives, clients, partners, and government stakeholders.</li><li>Contribute to technical solution designs, proposal development, and strategic bids where AI capabilities are a differentiator.</li><li>Communicate progress, risks, and outcomes clearly to senior leadership. <br><br></li></ul><strong>Qualifications<br><br></strong><ul><li>Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. </li><li>Solid Linux and systems‑level expertise8+ years of experience in software engineering</li><li>8+ years of hands‑on experience in AI and ML development in production environments</li><li>5+ years designing and maintaining data warehouses or data lakes</li><li>5+ years designing, implementing, and maintaining custom ETL pipelines</li><li>Proven experience deploying AI systems at scale</li><li>Ability to read scientific literature and implement algorithms from scratch</li><li>Strong mentoring skills and proven ability to lead senior technical teams<br><br></li></ul><strong>Technical Competencies<br><br></strong><ul><li>Design and deployment of large‑scale AI systems and foundational models</li><li>Advanced AI / ML frameworks (preferably PyTorch)</li><li>Data Warehouse / Data Lake architectures</li><li>Custom ETL design, implementation, and maintenance</li><li>MLOps, model lifecycle management, and production AI systems</li><li>Cloud platforms: AWS, Azure, GCP</li><li>Strong programming skills in Python and compiled languages (C++, Rust, Go, Java)</li><li>Performance profiling and optimization of AI systems<br><br></li></ul><strong>Behavioural Competencies<br><br></strong><ul><li>Applying a strong analytical and systems‑thinking perspective</li><li>Promoting integrity, ethics, and engineering rigor</li><li>Building collaborative, high‑performance teams</li><li>Communicating complex technical concepts clearly to technical and non‑technical stakeholders</li><li>Leadership under delivery pressure <br><br></li></ul><strong>Our Benefits &amp; Perks<br><br></strong><ul><li>Competitive compensation packages and comprehensive medical insurance to support you and your family.</li><li>Wellbeing-focused initiatives and resources, designed to enhance your personal and professional life.</li><li>Access to exclusive discount programs, offering savings across various lifestyle and leisure experiences across the UAE.<br><br></li></ul><strong>What Makes a Great Fit<br><br></strong>If you are performance-driven and possess an inquisitive mind with the agility to navigate ambiguity, you will thrive here. At the heart of the Space42 community is a bias for action and a passion for developing innovative, efficient space services through AI-driven smart solutions that drive technological advancements and create a better tomorrow.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose<p>At Emirates, we believe in connecting the world, to and through our global hub in Dubai and in constantly innovating to ensure our customers ‘Fly Better’. As one of the most recognised and admired brands globally, we’re driven by innovation and excellence.</p><br><br><br><p>Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation, we are always at the forefront, pushing boundaries. We are seeking exceptional IT professionals to strengthen our position as industry leaders. Embark on a journey with the world’s largest international airline and become a vital part of our cutting<span>‑</span>edge information and technology team as a <strong>Principal Quality Assurance Engineer.</strong></p><br><br><p>As a <strong>Principal Quality Assurance Engineer – dnata</strong>, you will join the Quality Engineering team, where quality is fundamental to the reliability of our enterprise platforms. You will play a critical role in assuring the quality, stability, and integrity of large‑scale Cloud ERP solutions that support core financial and operational processes across the Emirates Group.</p><br><br><br><p>We employ a broad range of testing tools and methodologies, leveraging industry‑standard automation frameworks and programming languages such as Java, C#, and Python, alongside modern Cloud and DevSecOps tooling. Quality is embedded end‑to‑end through CI/CD pipelines, automation‑first strategies, and continuous improvement practices to ensure resilient, secure, and compliant Cloud ERP platforms.</p><br><br><p> In this role, you will:</p><br><br><ul><li>Lead quality engineering design and build for quality engineering solutions across teams within a release train. Carry out effective technical design reviews to ensure that the right architecture patterns are used to support modern quality engineering practices.</li><li>Plan and lead a risk-based approach for end-to-end testing across all stages of development within release trains, ensuring inclusion and alignment with the business.</li><li>Create, evaluate and implement quality engineering standards and improvements. Ensure they are being consistently implemented within release trains.</li><li>Collaborate with the leadership and team members to identify and eliminate non-value adding work, with the aim of driving efficiency and productivity across teams and release trains.</li><li>Champion automation, lean software development, test driven development, agile practices, timely root cause analysis and blameless incident post-mortems to drive continuous improvements.</li><li>Develop/Identify framework, tools and practices to improve delivery quality of technology solutions and productivity of quality engineers.</li><li>Foster a climate of continuous improvement amongst the team members based on scaled agile software development principles. Act as a trusted advisor for the quality engineers and guide the team to work autonomously in a multi-disciplinary feature teams.</li><li>Lead, coach and mentor quality engineers within a release train, providing leadership and continuous feedback whilst facilitating professional development across all areas of quality engineering.</li><li>Ensure appropriate processes are in place to support reporting at portfolio and enterprise level to demonstrate OKR progress.</li></ul>Qualification<p>To be considered for this role, you must meet the below requirements:</p><br><br><br><ul><li>Degree or Honours (12+3 or equivalent) with 8+ years of experience in Information Technology.</li><li>Bachelor’s degree or equivalent in Computer Science, Computer Engineering, or a related discipline, or relevant professional experience.</li><li>Proven experience designing and building scalable quality engineering solutions aligned to Agile Release Train objectives.</li><li>Strong experience conducting technical design reviews and enforcing architecture standards that support modern quality engineering.</li><li>Demonstrated ability to plan and execute risk<span>‑</span>based testing strategies across the full development lifecycle.</li><li>Experience developing, implementing, and maintaining quality standards consistently across multiple agile teams.</li><li>Strong collaboration skills with cross<span>‑</span>functional teams to embed quality engineering seamlessly into delivery processes.</li><li>Proven track record of driving automation across all testing layers to minimise manual intervention and reduce human error.</li><li>Experience leading root cause analysis and promoting blameless post<span>‑</span>mortems to drive continuous improvement.</li><li>Strong leadership, coaching, and mentoring capability to develop quality engineers in both technical expertise and agile methodologies.</li></ul><br><p>Leadership role: Yes</p><br><br>Salary &amp; benefits<p>Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That’s on top of transport benefits, life insurance and more. Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers </p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>As Oracle Health continues to grow &amp; expand our service in the International Market, we are dedicated to transforming healthcare through innovative data solutions, with a clear vision and purpose. Our mission is to support our clients in the region to improve the health and well-being of the communities they serve through innovative and effective healthcare solutions. We are seeking a dedicated and experienced Healthcare Data and Analytics Manager to join our team and help drive our data-driven initiatives.&nbsp;</span></p><br><p><span>The Healthcare Data and Analytics Manager will be responsible for building and growing the team of analytics professionals, building a strong analytics data driven culture, establishing strong experimentation, dashboarding and insights competencies, collaborating with various departments, and ensuring the integrity, accuracy, and security of healthcare data and through that deliver outstanding business outcomes. This individual should be an experienced industry leader with skills in leveraging multiple current technologies, while expanding his/her knowledge on emerging technologies for different projects. The ideal candidate will have a strong background in data analytics, healthcare systems, and management.</span></p><br><p><strong>Key Responsibilities:</strong></p><br><ul> <li><strong>Data Management and Analysis:</strong> <ul> <li>Oversee the collection, storage, and analysis of healthcare data.</li> <li>Ensure data integrity, accuracy, and security in compliance with relevant regulations.</li> <li>Develop and implement data governance policies and procedures.</li> </ul></li> <li><strong>Team Leadership:</strong> <ul> <li>Lead and mentor a team of data analysts, data engineers and data scientists.</li> <li>Provide training and support to team members on data analytics tools and methodologies.</li> </ul></li> <li><strong>Strategic Planning:</strong> <ul> <li>Collaborate with various internal &amp; external stakeholders to develop and implement data-driven strategies.</li> <li>Identify opportunities for using data analytics to improve clinical outcomes and operational efficiency.</li> <li>Develop and monitor key performance indicators (KPIs) and metrics.</li> </ul></li> <li><strong>Reporting and Visualization:</strong> <ul> <li>Create comprehensive reports and dashboards for various stakeholders.</li> <li>Communicate findings and insights effectively to non-technical audiences.</li> </ul></li> <li><strong>Collaboration and Communication:</strong> <ul> <li>Work closely with IT, clinical, and operational teams to understand data needs and provide solutions.</li> <li>Foster a data-driven culture within the organization.</li> </ul></li> <li><strong>Continuous Improvement:</strong> <ul> <li>Stay current with industry trends, best practices, and emerging technologies in healthcare analytics. <ul> <li>Implement continuous improvement initiatives to enhance data analytics capabilities.</li> </ul></li> </ul></li></ul><br><p>Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.</p><br><p>True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.</p><br><p>We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <u>accommodation-request_mb@oracle.com</u> or by calling 1-888-404-2494 in the United States.</p><br><p>Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.</p><br><br>Responsibilities:<br><ul><li><strong>Required experience:</strong><ul><li>Bachelor’s degree in data science, Statistics, Health Informatics, Computer Science, or a related field.&nbsp;</li><li>Minimum of 5 years of experience in data analytics, with at least 3 years in a healthcare setting.</li><li>Proven experience in managing and leading a team.</li></ul></li><li><strong>Preferred Qualifications:</strong><ul><li>Advanced degree (Master’s or Ph.D.) in a relevant field.</li><li>Certifications in healthcare data analytics or related areas.</li><li>Experience with machine learning and predictive analytics.</li><li>Familiarity with healthcare regulations and compliance requirements.</li></ul></li><li><strong>Expectations</strong>:</li><li>Willing to travel as needed</li><li>Willing to work addititonal or irregular hours as needed and allowed by local regulations</li><li><strong>Skills:</strong><ul><li>Proficiency in data analytics tools such as SAS, SQL, R, Python, Tableau, and other relevant software.</li><li>Strong understanding of healthcare data, including EMR/EHR systems, claims data, and clinical databases.</li><li>Excellent analytical, problem-solving, and decision-making skills.</li><li>Strong communication and interpersonal skills, with the ability to work effectively with diverse teams.</li><li>Knowledge of healthcare regulations and standards, such as HIPAA.</li></ul></li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Purpose of the role Janus Digital ™ is building its global marketing function from a small base, and this role is central to making it scale.<br> It exists to turn marketing strategy into shipped work at pace: producing and localising the assets each market needs, running the day-to-day marketing operations underneath them, and building the automation that makes the whole engine repeatable rather than manual.<br> The role is deliberately a hybrid.<br> It is not a traditional marketing executive and it is not an engineering role.<br> It is a marketer who is comfortable in tooling, automation and AI, who sits wholly within marketing and works closely with the AI Office, and who does the hands-on execution a fast-moving function needs done every week.<br> Reporting and location Reports to: Head of Marketing &amp; Growth.<br> Works closely with: the AI software engineering team, the product and technology teams, the country commercial teams, and the People and talent acquisition team.<br> Location: Dubai, UAE.<br> Office-based five days a week.<br> Standard hours are 09:00 to 18:00 with an hour for lunch.<br> What the role does 1.<br> Campaign and content delivery (roughly 40%) Produce and ship marketing assets: leave-behind and send-ahead packs, market landing pages, decks, social posts, short video cuts and email sends.<br> Own the production queue: version control, sign-off tracking, and getting work out of draft and into market.<br> Adapt core assets for local markets (Singapore and the UK first, then the next launch markets), working from the global source material rather than rebuilding it.<br> 2. Marketing operations and website (roughly 25%) Day-to-day website updates, publishing and QA across the Janus Digital sites, including the per-market pages.<br> Keep the martech stack clean and usable: CRM hygiene, list management, tracking, UTMs, analytics tags, form and consent plumbing.<br> Reporting: campaign and channel performance, pipeline contribution, and a weekly and monthly view that anyone can read without a briefing.<br> 3. Marketing engineering and AI (roughly 25%) Build and maintain the agentic workflows that make the campaign engine repeatable: content adaptation, list building and enrichment, reporting pulls, publishing pipelines.<br> Prototype rather than specify in the abstract.<br> Where a script, a query or an agent will answer the question faster than a vendor, build it.<br> Work with the AI Office engineering team to specify, test and deploy marketing agentic.<br> Write clear requirements, run the testing, and own the marketing side of every build through to live.<br> 4. Events and programme support (roughly 10%) Practical support on roundtables, webinars, other events and marketing activations and programmes: invite tracking, collateral production, print and supplier coordination, and on-the-day logistics, working with country office managers where appropriate.<br> Support the internship and certification programmes as they stand up, including onboarding and buddying incoming interns.<br> What we are looking for MUST-HAVES Genuine interest in marketing as a craft, not just as technology.<br> This is a marketing role.<br> Fluent, confident use of AI tools (for example Claude, Claude Code, Claude Design, ChatGPT and Codex).<br> Able to show work built with them, and the demonstrable learnings that came out of it.<br> Project management skills and highly organised: clear written updates, dependencies tracked, nothing dropped silently.<br> Strong written English and a sharp eye for detail in published work.<br> Comfortable in a small, fast-moving team where plans change.<br> NICE-TO-HAVES 2 – 4 years of B2B marketing experience, ideally in technology, technology services, real estate, infrastructure or financial services.<br> Comfort with code: some Python, JavaScript or similar.<br> Self-taught counts.<br> A computer science degree is not required and an engineering background is not what we are hiring for.<br> Hands-on familiarity with a CMS, a CRM and an analytics platform in a working environment rather than a course.<br> Data handling: spreadsheets to a genuinely useful standard.<br> SQL is a bonus.<br> Basic video, design or motion skills (Canva, Premiere, Figma or similar).<br> How the role will be measured Marketing output shipped: volume, quality, speed from brief to published, and the commercial impact of the work.<br> Recurring manual tasks removed, and hours returned to the function.<br> Data quality in the CRM and reliability of the reporting.<br> Event and launch delivery on date and on standard, without escalation.<br></span> </div>

<p>The AI Engineer / Agent Developer is the hands-on builder of the Group’s Agentic AI capability, turning approved use cases into working, reliable agents that operate safely against real enterprise systems and data. The role spans rapid prototyping and production engineering — designing prompts and retrieval strategies, integrating agents with core platforms and tools, and instrumenting them so that accuracy, reliability, cost, and exception handling can be measured and improved. Success is judged not by demonstrations but by agents that hold up in daily business use under enterprise standards of security and control. </p><p><strong>▶ Agent Development & Engineering</strong> – Build, configure, and test AI agents against defined business use cases, translating solution blueprints into working implementations. – Work hands-on across prompt engineering, retrieval-augmented generation (RAG), workflow automation, API development, and tool integration. – Implement agent reasoning patterns, tool selection logic, memory and context management, and structured output handling. – Design and implement guardrails — input validation, output constraints, confidence thresholds, and safe failure behaviour. – Apply disciplined engineering practice: version control, code review, environment separation, automated testing, and CI/CD pipelines. ▶ <strong>Prototyping & Production Deployment</strong> – Develop rapid prototypes that prove or disprove feasibility quickly, with clear articulation of assumptions and limitations. – Support the transition of validated prototypes into production deployment, including hardening, performance tuning, and operational documentation. – Prepare release artefacts, runbooks, and support handover materials for infrastructure and application support teams. – Contribute to shared libraries, reusable components, prompt templates, and evaluation harnesses that accelerate future builds. ▶ <strong>Enterprise Systems Integration</strong> – Connect AI agents with enterprise systems, documents, databases, and workflow tools, including ERP, CRM, HRMS, procurement, and document repositories. – Build and consume secure APIs and integration services, managing authentication, rate limits, error handling, and retry logic. – Implement human-in-the-loop approval steps and escalation routes so that agent actions remain reviewable and reversible. – Coordinate with enterprise application owners on data contracts, sandbox access, regression testing, and release windows. ▶ <strong>Performance Monitoring & Quality Assurance</strong> – Monitor agent performance, accuracy, reliability, latency, and exception handling in both test and production environments. – Build evaluation datasets and automated test suites to detect regression when prompts, models, or upstream data change. – Investigate failures and unexpected behaviour to root cause, and implement corrective changes with documented evidence of improvement. – Track token consumption and inference cost, and optimise model selection, context size, and caching accordingly. ▶ <strong>Collaboration, Security & Documentation</strong> – Work closely with the AI / Agentic AI Lead, data engineers, application specialists, and business users throughout the delivery cycle. – Apply cybersecurity and data protection requirements in every build, including data classification, secrets management, and least-privilege access. – Maintain clear technical documentation covering architecture, prompts, integrations, known limitations, and support procedures. – Support user enablement by demonstrating capability, gathering structured feedback, and iterating on real-world usage. </p><p><strong>Desired Candidate Profile</strong></p><p>▶ Education – Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Technology, or a related discipline. – Postgraduate qualification in Artificial Intelligence, Machine Learning, or Data Science is an advantage. ▶ Professional Certifications – Certification in a major AI or cloud platform (Microsoft Azure AI Engineer, AWS Machine Learning, Google Cloud Professional ML Engineer, or equivalent). – Developer-level certifications in Python, cloud application development, or integration platforms are advantageous. – Recognised training in Agentic AI frameworks, RAG architecture, or LLM application security is an asset. ▶ Experience – 4–7 years of experience in software development, automation, data engineering, AI/ML, or enterprise application integration. – Hands-on experience in building, configuring, testing, and deploying AI agents or GenAI-based applications. – Experience with AI/GenAI platforms such as OpenAI API, Microsoft Copilot Studio, Amazon Bedrock, Google Vertex AI, or similar. – Familiarity with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar. – Demonstrated experience integrating applications with enterprise systems, databases, document repositories, and workflow tools. – Exposure to production support, monitoring, and incident resolution for deployed solutions. ▶ Key Skills & Attributes – Strong practical coding ability, with clean, testable, and well-documented implementation. – Structured debugging and root-cause analysis for probabilistic systems where failures are not always reproducible. – Clear judgement on when a prototype is genuinely production-ready and when it is not. – Ability to work directly with business users to refine requirements and validate outputs. – Disciplined approach to security, data protection, and access control in every build. – Curiosity and self-directed learning in a technology area that changes month to month </p>

<ul><li><p>We are looking for an experienced AI Architect responsible for architecting enterprise-wide Generative AI and Agentic AI capabilities across banking systems. The role will define target architecture, integration patterns, standards, reference implementations and reusable building blocks for full-fledged AI chat assistants, autonomous agents and multi-agent workflows. The AI Architect will lead end-to-end architecture for agentic retail banking journeys such as payments, transfers, servicing, self-service fulfilment and customer assistance, ensuring secure integration with enterprise APIs, middleware, core banking platforms and customer-facing channels across web and mobile. This role requires deep hands-on AI engineering capability, strong banking domain understanding, practical delivery experience with multiple production-grade banking agents, and the ability to collaborate with product, engineering, infrastructure, cybersecurity, data, governance and enterprise architecture teams to present and align designs through ARB.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Minimum Qualification</p><ul><li><p>Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science or a related discipline.</p></li><li><p>Relevant certifications in cloud architecture, AI engineering, security architecture, enterprise architecture or machine learning are preferred.</p></li></ul><p>Minimum Experience</p><ul><li><p>Senior technology professional with around 12+ years of experience across software engineering, architecture, cloud/platform engineering and enterprise solution delivery.</p></li><li><p>Minimum 4+ years of hands-on AI engineering or AI architecture experience, including Generative AI, LLM applications and Agentic AI solutions.</p></li><li><p>Proven experience architecting and delivering multiple banking agents or full-fledged banking chat assistant capabilities integrated with enterprise systems.</p></li><li><p>Strong understanding of banking systems, retail banking journeys, payments, transfers, servicing, customer self-service, operational controls and regulatory/security considerations.</p></li><li><p>Full AI Engineer capability including Python, API integration, microservices, event-driven design, RAG implementation, model/agent evaluation and cloud-native deployment practices.</p></li><li><p>Hands-on experience with agent frameworks and orchestration platforms such as Microsoft Semantic Kernel, AutoGen, LangChain, LangGraph and similar frameworks.</p></li><li><p>Experience architecting MCP servers, tool integration layers, agent-to-agent communication, UI integration patterns and agent interoperability protocols such as MCP, A2A and A2UI.</p></li><li><p>Strong experience with Azure AI services, Azure OpenAI Service, AWS AI services, Amazon Bedrock and related model deployment/management capabilities.</p></li><li><p>Experience designing secure AI systems with zero trust principles, identity and access controls, data protection, secure API design, PII redaction and privacy-by-design controls.</p></li><li><p>Experience presenting solution architecture, trade-off analysis, ADRs and architecture recommendations to ARB or equivalent architecture governance forums.</p></li><li><p>Experience recommending infrastructure architecture for AI platforms including compute, Kubernetes, serverless, vector databases, observability, monitoring, data pipelines and connectivity.</p></li><li><p>Strong capability to collaborate with engineering, product, cybersecurity, infrastructure, operations, data, compliance and enterprise architecture teams.</p></li></ul></li></ul><br><p>Key Technical Skills</p><ul><li><p>Enterprise Agentic AI architecture, multi-agent systems, autonomous workflows, human-in-the-loop design and full-fledged chat assistant architecture.</p></li><li><p>LLMs, prompt engineering, context engineering, memory design, tool/function calling, agent orchestration, model/agent evaluation and cost/latency optimization.</p></li><li><p>RAG architecture, semantic indexing, embeddings, vector databases, retrieval optimization, reranking, grounding, answer relevancy and explainability patterns.</p></li><li><p>MCP server architecture, tool registries, multi-tool integration, A2A, A2UI, agent interoperability protocols and AI ecosystem design.</p></li><li><p>Azure AI, Azure OpenAI, AWS AI services, Amazon Bedrock, Kubernetes, serverless, microservices, APIs, event-driven architecture and observability.</p></li><li><p>Security architecture for AI systems including zero trust, PII redaction, data masking, privacy controls, guardrails, secure logging and auditability.</p></li></ul><p>Behavioural / Leadership Skills</p><ul><li><p>Strategic architecture thinking with the ability to define enterprise standards, influence platform direction and simplify complex technical decisions.</p></li><li><p>Strong stakeholder communication with the ability to present architecture options, risks, trade-offs and recommendations to senior leadership and ARB forums.</p></li><li><p>Collaborative leadership style with the ability to work across business, product, engineering, cybersecurity, data and infrastructure teams.</p></li><li><p>Hands-on problem-solving mindset, pragmatic decision making, ownership, mentoring capability and commitment to high-quality secure delivery.</p></li></ul><p>Technical Competencies</p><ul><li><p>Enterprise Agentic AI architecture and banking-grade AI ecosystem design.</p></li><li><p>Retail banking agent architecture for payments, transfers, servicing and self-service workflows.</p></li><li><p>RAG, memory, context engineering, evaluation, tool orchestration and MCP server architecture.</p></li><li><p>AI security architecture, zero trust, PII redaction, guardrails, auditability and governance.</p></li><li><p>Azure and AWS AI services, cloud-native infrastructure, Kubernetes, serverless and observability for agent platforms.</p></li><li><p>Architecture documentation, ADR creation, ARB presentation and cross-team design governance.</p></li></ul><p>Skills</p><p>AI Architecture</p><p>LLMs</p><p>Azure AI</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Bot Developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project (https://tendem.<br>ai/) and build conversational bots and messaging-platform integrations for real-world applications.<br> In this role, you'll use your bot engineering expertise, conversational design skills, and quality-focused approach to build reliable, useful bots and messaging integrations that deliver a great user experience.<br> This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Bot Developer, you'll design, build, and refine messaging bots for one or more messaging platforms, including WhatsApp, Telegram, Discord, Slack, and similar platforms — for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.<br> Key Responsibilities Build bots for one or more messaging platforms, such as WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, Slack and similar messaging platforms.<br> Design and implement conversational flows, dialogue state, and fallback handling.<br> Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.<br> Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).<br> Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).<br> Review, debug, optimize, and refactor bot implementations to improve correctness, reliability, maintainability, and graceful error handling.<br> Implement logging, monitoring, and recovery so bots stay healthy in production.<br> Requirements and benefits Educational qualifications At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows.<br> We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and build stable, user-friendly bot experiences.<br> Strong problem-solving skills, attention to detail, and the ability to work independently are essential.<br> Technical Skills (Essential) At least 1 year of hands-on experience building bots for at least one major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required Strong command of Python or Node.<br>js for backend bot logic.<br> Solid experience with REST APIs, webhooks, OAuth, and async request handling.<br> Experience with relational or NoSQL databases for storing conversation state and user data.<br> Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.<br> Understanding of platform-specific limits, message templates, and approval flows (e.<br>g., WhatsApp template messages).<br> Experience with hosting and deployment (Docker, serverless, VPS, or PaaS) Additional requirements Strong attention to detail and commitment to bot reliability — no silent failures, no broken flows.<br> Self-directed work ethic with the ability to design and ship complete bots independently.<br> Portfolio or examples of bots you've built (required).<br> English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>About the opportunity<br><p><strong>ROLE SUMMARY</strong></p><br><br><p>The Logistics Integrity team protects talabat's rider marketplace by detecting, preventing and reducing rider fraud and misconduct at scale across our eight markets in the Middle East. As a Sr. Specialist in the Integrity team, you will own end-to-end a portfolio of high-impact rider misconduct behaviors, plus the cross-cutting programs that keep the team's detection and enforcement engine running as one system. You will translate integrity risk into detection rules, enforcement actions and measurable reductions, working in close partnership with Product, Operations, Customer Experience and country leadership. Your work is a direct enabler of one of talabat's most important operational priorities: making our rider network faster, fairer and more reliable for the millions of customers we serve across the region.</p><br><br><p><strong>WHAT’S ON YOUR PLATE?</strong></p><br><br><ul><li><p>Own a portfolio of high-impact rider misconduct behaviors end-to-end: define how each is measured, baseline its prevalence across countries and rider cohorts, run root-cause analysis, and identify and prioritize the levers that will reduce it.</p><br><br></li><li><p>Design and tune the detection rules and enforcement thresholds behind talabat's integrity systems, and manage the country-by-country rollout of each change across the region.</p><br><br></li><li><p>Run the enforcement operating loop: periodic enforcement waves, tracking of the worst offenders, false-positive review, per-country performance tracking, and regular re-tuning based on what the data shows.</p><br><br></li><li><p>Document how detection and enforcement flow end-to-end for every actively-managed behavior, identify gaps, broken handoffs and redundancies, propose fixes.</p><br><br></li><li><p>Own the tooling and operational hygiene layer of the team: workflow automation, tracker maintenance, and the critical infrastructure that keeps the detection &amp; enforcement systems running.</p><br><br></li><li><p>Expand the team's active integrity coverage over time by surfacing and prioritizing new misconduct patterns from the broader risk behaviors, and building the business case to bring them into active management.</p><br><br></li><li><p>Contribute owned-behavior performance into talabat's regional integrity KPIs and the team's executive reporting cadence.</p><br><br></li><li><p>Maintain audit-ready documentation for owned behaviors (detection logic, thresholds, enforcement rules, decision trails, false-positive handling) to support internal governance and public-company compliance requirements.</p><br><br></li><li><p>Partner cross-functionally with Product, Operations, Customer Experience and country leadership on lever execution and country rollouts; participate in the team's weekly cadence and quarterly reviews.</p><br><br></li></ul><br>What you need to be successful<br><p><strong>WHAT DID WE ORDER?</strong></p><br><br><ul><li><p>4 to 6 years in Trust and Safety, Fraud and Risk, Marketplace Operations, or Logistics Operations Analytics; tech-enabled or multi-market environments preferred.</p><br><br></li><li><p>Bachelor's degree in engineering, business, economics or equivalent practical experience.</p><br><br></li><li><p>Track record in at least one of: behavioral fraud detection, rule-based design, gig-economy fleet operations, or large-scale anti-abuse programs.</p><br><br></li><li><p>Comfort owning a problem end-to-end: measurement, root-cause analysis, solution design, execution, and re-measurement of impact.</p><br><br></li><li><p>Strong SQL fluency (BigQuery a plus); comfortable building dashboards and writing lightweight Python for automation.</p><br><br></li><li><p>Analytical depth: ability to move from anomaly, to root cause, to lever, to business case, to measured impact.</p><br><br></li><li><p>Process-mapping mindset: comfortable dissecting operational workflows and naming where they break.</p><br><br></li><li><p>Strong stakeholder management across Product, Operations and country teams; comfortable operating across multiple markets with different operational baselines and rule sets.</p><br><br></li><li><p>Comfort with threshold tuning and the trade-off between catching abuse and unfairly flagging genuine users.</p><br><br></li><li><p>Ability to influence, empower and align people across a broad variety of job functions.</p><br><br></li><li><p>Extremely organized and process-driven, able to manage internal workload and expectations across a large set of stakeholders.</p><br><br></li><li><p>Strong commitment to enforcing standards, ethics and compliance.</p><br><br></li><li><p>Hands-on, enjoys fact-finding and going beyond theoretical frameworks.</p><br><br></li><li><p>Strong fluency with Gen AI tools like Claude and Claude Code.</p><br><br></li><li><p>Excellent written and verbal communication skills in English.</p><br><br></li><li><p>Team player who thrives on comradery.</p><br><br></li></ul><br>Who we are<br><p>Talabat is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.</p><br><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Bot Developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project (https://tendem.<br>ai/) and build conversational bots and messaging-platform integrations within our hybrid AI + human environment.<br> In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users.<br> This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Bot Developer, you'll design, build, and refine messaging bots for one or more messaging platforms, including WhatsApp, Telegram, Discord, Slack, and similar platforms — for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.<br> Key Responsibilities Build bots for one or more messaging platforms, such as WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, Slack and similar messaging platforms.<br> Design and implement conversational flows, dialogue state, and fallback handling.<br> Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.<br> Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).<br> Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).<br> Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling.<br> Implement logging, monitoring, and recovery so bots stay healthy in production.<br> Requirements and benefits Educational qualifications At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows.<br> We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences.<br> Strong problem-solving skills, attention to detail, and the ability to work independently are essential.<br> Technical Skills (Essential) At least 1 year of hands-on experience building bots for at least one major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required Strong command of Python or Node.<br>js for backend bot logic.<br> Solid experience with REST APIs, webhooks, OAuth, and async request handling.<br> Experience with relational or NoSQL databases for storing conversation state and user data.<br> Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.<br> Understanding of platform-specific limits, message templates, and approval flows (e.<br>g., WhatsApp template messages).<br> Experience with hosting and deployment (Docker, serverless, VPS, or PaaS) Additional requirements Strong attention to detail and commitment to bot reliability — no silent failures, no broken flows.<br> Self-directed work ethic with the ability to design and ship complete bots independently.<br> Portfolio or examples of bots you've built (required).<br> English proficiency: Upper-intermediate (B2) or above (required).<br> Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the Role</p><p>We are seeking a highly skilled engineer to deliver production-grade AI agents and business automations — systems</p><p>engineered for reliability, scale and sustained business value in live enterprise environments. You will build agents</p><p>and workflows that take real actions across enterprise applications - querying data, interpreting documents and</p><p>emails, executing multi-system workflows, and preparing business transactions - while supporting the company's</p><p>AI and analytics roadmap throughout the AI lifecycle: preparing and integrating enterprise data, evaluating AI</p><p>vendors, tools and solutions, ensuring AI governance compliance, and building internal awareness of emerging AI</p><p>technologies.</p><p>Key Responsibilities</p><ol><li><p>AI Agent Engineering &amp; System Architecture</p></li></ol><ul><li><p>Design, develop and deploy autonomous and multi-agent systems with planning, reasoning, tool use, memory</p></li></ul><p>and state management — via agentic frameworks or direct LLM API integrations.</p><ul><li><p>Deliver agents across pro-code and low-code tiers - Azure AI Foundry, LangChain and LangGraph and</p></li></ul><p>Microsoft Copilot Studio — selecting the right tier per use case.</p><ul><li><p>Define strict tool contracts and structured output schemas, integrating agents with enterprise applications via</p></li></ul><p>REST APIs and Model Context Protocol (MCP).</p><ul><li><p>Orchestrate multi-user, role-based agentic workflows with review-before-commit human approval before any</p></li></ul><p>write-back or dispatch, built as durable, long-running processes with persistent state and resumability.</p><ol><li><p>Business Process Automation &amp; Workflow Development</p></li></ol><ul><li><p>Analyze, document and redesign repetitive processes across Finance, Procurement, Sales, Production,</p></li></ul><p>Engineering, HR and IT, selecting the right automation approach for each.</p><ul><li><p>Design, build and deploy workflows in Power Automate — approvals, notifications, escalations, scheduled</p></li></ul><p>and event-driven processes triggered via APIs and webhooks.</p><ul><li><p>Build Copilot Studio custom agents with actions, topics, knowledge sources and custom connectors to</p></li></ul><p>enterprise applications, with error handling and logging built in.</p><ol><li><p>Retrieval Engineering (RAG)</p></li></ol><ul><li><p>Build and optimize Retrieval Augmented Generation pipelines: chunking, embedding selection, hybrid search</p></li></ul><p>and re-ranking over vector databases. Continuously measure and tune retrieval quality for relevance and</p><p>precision.</p><ol><li><p>Data Engineering &amp; Integration</p></li></ol><ul><li><p>Clean, integrate and validate data from ERP, production and data-warehouse environments; build ETL</p></li></ul><p>pipelines, data mapping and quality checks feeding AI initiatives.</p><ol><li><p>Document &amp; Email Automation</p></li></ol><ul><li><p>Automate extraction and validation of data from business documents and incoming emails using OCR and AI</p></li></ul><p>document intelligence, routing low-confidence cases for human review.</p><ol><li><p>Reliability, Evaluation &amp; Observability</p></li></ol><ul><li><p>Engineer agents and workflows to mission-critical standards retries with backoff, fallbacks and circuit</p></li></ul><p>breakers, plus error handling, production monitoring and root-cause analysis.</p><ul><li><p>Trace every tool call and reasoning step. Run metrics-driven test pipelines and dashboards tracking success</p></li></ul><p>rates, latency, cost and business benefits.</p><ol><li><p>Production Deployment</p></li></ol><ul><li><p>Deploy containerized services via CI/CD to Kubernetes behind an application gateway, with centralized</p></li></ul><p>monitoring, secrets management and asynchronous messaging.</p><ol><li><p>Security &amp; Safety</p></li></ol><ul><li><p>Defend agents against prompt injection with permission boundaries, input validation and output filters;</p></li></ul><p>enforce least-privilege access and full audit trails per AI governance and standard compliance policies.</p><ol><li><p>AI Project Coordination, Research &amp; Enablement</p></li></ol><ul><li><p>Gather and document AI use-case requirements; support UAT execution and issue management through go</p></li></ul><p>live.</p><ul><li><p>Track emerging AI technologies and propose POC and pilot projects.</p></li><li><p>Support employee training in responsible AI usage and prepare guidance and onboarding documentation.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Required Qualifications &amp; Skills</p><ul><li><p>Bachelor's degree in Computer Science, Software Engineering, IT, AI/ML or related discipline.</p></li><li><p>5+ years in software engineering, automation or system integration, including 2+ years building LLM-based</p></li></ul><p>agentic systems in production.</p><ul><li><p>Hands-on experience with agentic frameworks (LangChain, LangGraph, Microsoft Agent Framework or</p></li></ul><p>comparable) and LLM APIs (Azure OpenAI or similar): tool use, structured outputs, streaming, prompt and</p><p>context engineering.</p><ul><li><p>Practical experience building RAG pipelines with vector databases (pgvector, FAISS, Azure AI Search or</p></li></ul><p>similar).</p><ul><li><p>Hands-on experience with Power Automate and Copilot Studio, and integrating enterprise applications</p></li></ul><p>through REST APIs, JSON, webhooks and MCP.</p><ul><li><p>Strong Python; frontend development with React (Vite or similar tooling) for agent-facing user interfaces;</p></li></ul><p>Solid SQL and ETL / data pipeline development.</p><ul><li><p>Experience with Microsoft Azure services (AKS, Functions, Logic Apps, Service Bus, Key Vault, Azure OpenAI /</p></li></ul><p>AI Foundry) and containerized production deployment (Docker, Kubernetes, CI/CD) strongly preferred.</p><ul><li><p>Applied ML fundamentals — forecasting, classification, optimization, recommender systems — including</p></li></ul><p>statistical validation and anomaly detection on transactional business data is a strong plus.</p><ul><li><p>Understanding of business workflows, approvals, financial controls and exception handling; strong</p></li></ul><p>communication skills in English.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> The Lead Auditor - Finance, Treasury &amp; Financial Risk will be responsible for leading and delivering end-to-end audits across key financial domains, including finance, treasury operations and financial risk management (credit, capital and liquidity). The role involves independently planning, executing and reporting on audits, while assessing the effectiveness of governance, risk management and internal control frameworks.<br><br>Internal Audit Leads are expected to take full ownership of assigned audit engagements, from risk assessment and scoping through to issue validation and stakeholder engagement, ensuring alignment with CBUAE expectations and requirements, IFRS standards and internal policies.<br><br>This role requires a strong experience and understanding of finance and accounting principles, treasury activities and financial risk disciplines, combined with the ability to lead audit assignments, challenge the business constructively and provide actionable insights. Advanced data analytics capabilities are essential to support a risk-based, data-driven audit approach and to enhance audit quality and efficiency.<br> <br> Key Responsibilities<br><strong><br>Finance &amp; Treasury Audits<br></strong><br><br><ul><li>Lead and deliver end-to-end audits across finance, treasury and financial risk processes, including financial reporting, accounting, liquidity management, funding, investments, payments and tax.</li><li>Independently plan audit engagements through risk assessment, scoping, execution and reporting, ensuring a high-quality, risk-based approach.</li><li>Evaluate compliance with IFRS, CBUAE regulatory requirements and internal policies, identifying gaps and areas for improvement.</li><li>Review treasury frameworks, including cash management, FX exposure and hedging strategies, ensuring robust governance and control practices.</li><li>Monitor developments in financial reporting standards, regulatory expectations and fintech trends, incorporating relevant insights into audit coverage.</li><li>Review external audit observations, assess their impact on internal control environments and track remediation actions to closure.<br></li></ul><strong><br>Data Analytics &amp; Continuous Improvement<br></strong><br><br><ul><li>Apply advanced data analytics to identify anomalies, emerging risks, and control weaknesses across finance and treasury processes.</li><li>Leverage data models, dashboards and automation tools to enhance audit planning, execution and continuous monitoring.</li><li>Drive a data-driven audit approach, improving audit efficiency, coverage and insight generation.</li><li>Contribute to the development and enhancement of the risk-based audit plan, incorporating thematic reviews and continuous auditing techniques.<br></li></ul><strong><br>Compliance &amp; Risk Management<br></strong><br><br><ul><li>Ensure audit activities are aligned with CBUAE regulations, IFRS standards and internal governance frameworks.</li><li>Assess the effectiveness of financial risk management practices, including credit, market and liquidity risk oversight.</li><li>Provide forward-looking insights on emerging financial, regulatory and business risks impacting Tabby.</li><li>Challenge existing processes and controls constructively, promoting a strong risk and control culture.<br></li></ul><strong><br>Reporting &amp; Communication<br></strong><br><br><ul><li>Report audit outcomes to the Head of Internal Audit, providing clear, risk-based conclusions and practical recommendations.</li><li>Prepare concise, high-quality audit reports and communicate findings effectively to senior management.</li><li>Build strong relationships with key stakeholders, influencing change and driving timely remediation of audit findings.<br></li></ul> <br> Skills, Knowledge and Expertise<br><ul><li>7+ years of relevant experience in internal audit, external audit or financial control within banking, fintech or financial services environments.</li><li>Bachelor’s degree in Accounting, Finance, Economics or a related discipline.</li><li>Relevant professional certifications such as CPA, ACCA, CA, CIA, or CISA (or actively pursuing) are strongly preferred.</li><li>Strong technical expertise in finance, accounting and treasury, with a solid understanding of IFRS and CBUAE regulatory frameworks.</li><li>Demonstrated experience leading audits across financial reporting, treasury operations, liquidity, funding and financial risk management.</li><li>Sound knowledge of internal control frameworks (e.g., COSO) and risk-based auditing methodologies.</li><li>Proficiency in data analytics and visualization tools (e.g., SQL, Python, Power BI, Tableau), with the ability to translate data into actionable audit insights.</li><li>Strong analytical thinking, with the ability to assess complex processes, identify risks and challenge controls effectively.</li><li>Excellent communication and stakeholder management skills, with experience presenting to senior management and influencing outcomes.</li><li>Proven ability to operate independently, manage multiple priorities and deliver high-quality work in a fast-paced, dynamic environment.</li><li>High level of professional skepticism, integrity and attention to detail.</li><li>Fluency in English required.<br></li></ul> <br> Benefits<br><ul><li>Flexible working model with trust and autonomy from day one.</li><li>A high-growth environment with ownership and responsibility that will accelerate your career.</li><li>Participation in the company’s employee stock options program.</li><li>Comprehensive health insurance.</li><li>Flexi Perks: a monetary benefit to spend on what matters most to you — health, well-being, education, or professional development.</li></ul> </div>

About Agoda<br><br>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.<br><br>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.<br><br>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.<br><br>This role is based in Bangkok, Thailand, and is open to candidates worldwide. We offer a generous relocation package to ensure a smooth transition to living and working in Bangkok.<br><br>The Opportunity:<br><br>We are looking for a Marketing Specialist / Campaign Manager who thrives on executing impactful marketing campaigns for business partners. In this role, you will spearhead high-volume, creative, and data-driven campaigns that contribute directly to the success of Agoda’s partners by boosting their business and reaching new heights.<br><br>You will leverage sophisticated Marketing tools like Iterable and Builder.io, while cultivating valuable insights from campaign performance to continuously improve strategies and drive better results.<br><br>If you’re detail-oriented with a flair for creativity, a knack for data analysis, and a desire to make a real impact, this is your chance to join a fast-paced and dynamic environment where your work directly drives partnership success.<br><br>Key Responsibilities:<br><br>Execute Partner Marketing Campaigns: Manage the end-to-end execution of our partners’ campaigns while ensuring timelines, quality, and stakeholder alignment. Creative Campaign Development: Collaborate to design compelling campaign materials, including themes and engagement-focused content tailored to partner audiences and strategy Leverage Marketing Tools: Operate advanced platforms (Iterable, Builder.io, and others) to deliver seamless and strategic campaign execution. Process optimization: Regularly review past campaigns, communications and projects to identify opportunities for improvements and advancements focused on driving efficiency Analyze & Optimize Campaign Performance: Measure performance metrics to uncover actionable insights, recommend campaign enhancements, and ensure optimal outcomes.<br><br>Requirements:<br><br>Marketing Campaign Execution Expertise: 1+ years in marketing operations or execution-focused roles with a proven track record of driving results. Results-Driven Professional: A passion to create campaigns that directly impact partner business growth and pipeline acceleration. Command of Digital Tools: Hands-on experience with marketing automation platforms like Iterable, Builder.io, Hub Spot, Braze, Mail Chimp, or similar. Multi-Tasking in a Fast-Paced Environment: Proven ability to manage several campaigns simultaneously without compromising quality. Detail-Oriented & Creative Problem Solver: Exceptional ability to understand and clarify requirements, refine messaging, and ensure all deliverables meet quality standards. Strong Analytical Mindset: Ability to interpret campaign data and performance to drive insights and propose impactful improvements.<br><br>IMPORTANT<br><br>This role will collaborate with our teams in the US and will require overlapping hours for effective communication. For example, you may be required to work two hours in the evening twice a week (exact times can be further discussed and coordinated). Flexibility in scheduling is required and expected to ensure smooth collaboration.<br><br>Why Join Us?<br><br>At Agoda, you will play a pivotal role in shaping our communication strategies and driving growth within the B2B marketing division. If you are an innovative thinker passionate about travel technology and have the skills to elevate our brand narrative, we invite you to apply and be part of our dynamic team!<br><br>#STRA#ANLS#MRKT#3 #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 #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 #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicanteockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaar data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java #eventmarketing<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>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<br><br>Equal Opportunity Employer <br><br>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.<br><br>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.<br><br>Disclaimer<br><br>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.

Company Description<br> <br>Work with Us. Change the World.<br> <br>At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.<br> <br>There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.<br> <br>We're one global team driven by our common purpose to deliver a better world. Join us.<br> <br>Job Description<br> <br>We are seeking a motivated Graduate Digital Solutions Specialist to join our Urbanism & Planning team. You will apply digital tools, spatial technologies, and data‑driven methods to real‑world urban planning and development projects. Working alongside multidisciplinary teams, you will support the integration of GIS, BIM, parametric modeling, and data analytics into project workflows, helping deliver innovative, sustainable, and future‑focused urban solutions.<br> <br>This role is a part of our 24-months Advance graduate program. Your journey from graduate to future leader will be supported through structured learning programs and one-on-one mentoring with industry experts, equipping you with the tools to make a lasting impact on our organization and the nation.<br> <br>As part of AECOM’s commitment to Emiratisation and in accordance with UAE labour law, only UAE Nationals with a family book will be considered for this role.<br> <br>Job Summary<br> Support the Urbanism & Planning team in applying digital tools such as GIS, BIM, and parametric/3D modeling to enhance project analysis, visualization, and delivery. Assist with collecting, organizing, and analyzing spatial and non‑spatial datasets to support planning and design decisions. Develop digital outputs including maps, dashboards, 3D models, and other visualizations used in project presentations and stakeholder communications. Contribute to digital workflow development to improve project efficiency, data quality, and team collaboration. Work closely with planners, architects, engineers, and technical specialists to integrate digital capabilities into multidisciplinary project workflows. Provide junior‑level technical support for digital tools and help troubleshoot basic software issues. Participate in training, knowledge‑sharing, and continuous learning activities to build digital and urban planning capabilities. Stay informed about emerging digital tools and technologies relevant to urbanism, planning, sustainability, and smart cities. <br>Qualifications<br> UAE National with a Family Book (mandatory in line with Emiratisation and UAE labor requirements). Bachelor’s or Master’s degree in Urban Planning, Geography, Architecture, Civil Engineering, Computer Science, Geospatial Sciences, or a related field. Familiarity with GIS platforms (Arc GIS, QGIS), BIM tools (Revit, Navisworks), and/or parametric modeling tools (Rhino, Grasshopper). Basic programming or data skills (e.g., Python, R, Java Script) and exposure to data visualization tools (e.g., Power BI, Tableau) are an advantage. Strong analytical and problem‑solving skills, with an interest in applying data‑driven and digital methods to urban planning challenges. Good written and verbal communication skills, with the ability to present technical information clearly. Ability to collaborate effectively within a multidisciplinary team and learn from senior specialists. Demonstrated interest in urbanism, sustainability, digital innovation, and the future of cities. Curiosity, willingness to learn, and readiness to grow in a fast‑paced digital planning environment. <br>Additional Information<br> <br>At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.<br> <br>About AECOM<br> <br>AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.<br> <br>AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.<br> <br>What makes AECOM a great place to work<br> <br>You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.<br> <br>As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.<br> <br>Req ID: J10145298<br> <br>Business Line: U&P<br> <br>Business Group: DCS<br> <br>Strategic Business Unit: ME and Africa<br> <br>Career Area: Digital & Engineering Technology<br> <br>Work Location Model: Hybrid

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><strong><span>We help the world run better</span></strong><span><br>At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</span></p><br> <p><strong><span><span>What you'll build</span></span></strong></p><br> <br> <p><span><span>In this role, you contribute to the design, development, and operation of AI-native enterprise applications within fast-moving, customer-embedded delivery teams. You bring solid engineering fundamentals and a growing command of AI and machine learning techniques, applying them to solve real-world business problems under the guidance of senior engineers and technical leads. This is a role for someone early in their AI engineering career who is hungry to learn, eager to contribute, and excited by the challenge of building production-grade solutions that make a tangible difference for enterprise customers.</span></span></p><br> <br> <p><strong><span><span>In this role, you will:</span></span></strong></p><br> <br> <ul> <li> <p><span><span>Contribute to the development of production-grade, cloud-native applications integrating AI capabilities such as large language models, RAG pipelines, and agent-based components.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Work within customer projects and cross-functional delivery teams, learning to understand business processes, technical landscapes, and customer needs.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Implement features, components, and integrations under the guidance of senior engineers, maintaining code quality and adherence to engineering standards.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Support prototyping, testing, and iteration of AI solutions in customer environments, adapting to feedback and evolving requirements.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Participate in code reviews, technical discussions, and design sessions, actively developing your engineering skills and knowledge.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Assist with monitoring, troubleshooting, and improving deployed solutions to ensure reliability and operational stability.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Contribute to documentation, reusable components, and engineering best practices to support team productivity and knowledge sharing.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Demonstrate a proactive learning mindset — staying current with AI/ML developments and applying new techniques and tools to improve solution quality.</span></span></p><br> </li> </ul> <br> <p><strong><span><span>What you bring:</span></span></strong></p><br> <br> <ul> <li> <p><span><span>Solid foundational skills in software engineering, with proficiency in Python and hands-on experience in at least one cloud-native development environment.</span></span></p><br> </li> </ul> <br> <br> <ul> <li> <p><span><span>Growing understanding of AI and ML concepts, including familiarity with large language models, machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn), and API-based AI services.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Exposure to data pipelines, MLOps concepts, or AI/ML model integration in application contexts.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Ability to work collaboratively within a team, follow engineering standards, and take ownership of assigned tasks with a strong sense of accountability.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Curiosity, adaptability, and a growth mindset — you actively seek feedback, learn from experience, and are motivated to grow quickly in a high-pace environment.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Basic understanding of cloud platforms (e.g. AWS, Azure, GCP) and familiarity with tools such as Git, Docker, and CI/CD pipelines.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Strong communication skills and the ability to work effectively within cross-functional teams and customer-facing settings.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>An interest in or early exposure to SAP AI technologies such as SAP AI Core or SAP Business Technology Platform (BTP) is a plus.</span></span></p><br> </li> </ul> <br> <p><strong><span><span>Where you belong:</span></span></strong></p><br> <br> <p><span>You will be part of a growing AI and industry expert team serving customers across the Americas, Europe, and Asia. We invest in the growth of our people at every level — and this role is built for someone who wants to accelerate fast. You will be surrounded by experienced engineers and AI practitioners who are committed to helping you develop. You will thrive here if you are curious, hardworking, and motivated by the opportunity to build real AI solutions for real enterprise customers — from day one.</span></p><br> <br> <br> <p><strong><span>Bring out your best</span></strong><span><br>SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.&nbsp;&nbsp;<br></span><strong><span>We win with inclusion</span></strong><span><br>SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>For SAP employees: Only permanent roles are eligible for the </span><span>SAP Employee Referral Program<span>, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,&nbsp; gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br></span></span><span>Successful candidates might be required to undergo a background verification with an external vendor.</span></p><br> <p><strong><span>AI Usage in the Recruitment Process</span></strong></p><br> <p><span>For information on the responsible use of AI in our recruitment process, please refer to our </span><span>Guidelines for Ethical Usage of AI in the Recruiting Process</span><span>. </span></p><br> <p><span><span>Please note that any violation of these guidelines may result in disqualification from the hiring process.</span><span><br>Requisition ID: 457240 &nbsp;| Work Area: Software-Design and Development &nbsp;| Expected Travel: 0 - 10% &nbsp;| Career Status: Professional &nbsp;| Employment Type: Regular Full Time &nbsp;&nbsp;| Additional Locations: &nbsp;#LI-Hybrid<br></span></span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The Mubadala Arabian Center for Climate and Environmental Sciences (Mubadala ACCESS) at New York University Abu Dhabi (NYUAD) invites applications for a Post-Doctoral Associate to join an exciting multidisciplinary research program investigating the environmental and ecological drivers of productive fishing grounds in the United Arab Emirates.</p><br><br> <p>Working in collaboration with Emirates Nature–WWF and government partners, the successful candidate will lead the spatial ecology, habitat mapping, and environmental data integration components of a major applied research initiative that will directly inform fisheries management, marine conservation, and habitat restoration across the UAE.</p><br><br> <p>The successful candidate will lead the spatial ecology and habitat mapping components of the project by integrating environmental monitoring data, fisheries information, habitat datasets, and field observations to identify the ecological drivers of productive fishing grounds. Responsibilities include developing habitat characterization workflows using combinations of bathymetric datasets, side-scan sonar, remotely sensed imagery, GIS, and other spatial datasets to produce habitat maps, ecological indicators, habitat suitability assessments, and spatial decision-support products.</p><br><br> <p>The Post-Doctoral Associate will collaborate closely with project staff to design field campaigns, develop sampling strategies, participate in marine field surveys, and ensure the effective integration of environmental, biological, and spatial datasets. The successful candidate will establish robust data management and quality assurance workflows while preparing scientific manuscripts, technical reports, maps, visualizations, and presentations for project partners and government stakeholders.</p><br><br> <p>Additional responsibilities include engaging with Emirates Nature–WWF, government agencies, and other stakeholders to communicate research findings and support the translation of science into management and policy outcomes. The successful candidate will also contribute to the broader research activities of Mubadala ACCESS through mentoring junior researchers and students, participating in proposal development, and contributing to peer-reviewed publications.</p><br><br> <p>Applicants must hold a PhD in Marine Science, Marine Ecology, Oceanography, Environmental Science, Geography, Spatial Ecology, or a closely related discipline. With no more than five years post receipt of PhD.</p><br><br> <p>The ideal candidate will have demonstrated experience conducting independent marine spatial analyses and developing habitat maps using marine datasets. Applicants should possess strong analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing, and other marine habitat mapping technologies is highly desirable.</p><br><br> <p>Candidates should have experience integrating biological, environmental, and spatial datasets and possess excellent written and verbal communication skills with a strong publication record in marine ecology, habitat mapping, fisheries ecology, or environmental science. Experience conducting marine field surveys, including SCUBA certification, and familiarity with environmental monitoring equipment such as CTDs, multiparameter sondes, or environmental sensor networks are required.</p><br><br> <p>To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree/ copy of highest degree, and a research statement, all in PDF format. Two contact references will be requested from shortlisted candidates.</p><br><br> <p>Applications will be accepted immediately and candidates will be considered until the position is filled. If you have any questions, please reach out to Kelly Bradham email: kelly.bradham@nyu.edu</p><br><br> <p><strong>About NYU Abu Dhabi</strong></p><br><br> <p>https://nyuad.nyu.edu/en/</p><br><br> <p>NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.</p><br><br> <p>NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.</p><br><br> <p>Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.</p><br><br> <br> <p><strong>Working for NYUAD</strong></p><br><br> <p>At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority.</p><br><br> <p> Visit our website for more information on benefits for you and your dependents.</p><br><br> <p>NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.</p><br><br> <p>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.</p><br><br> <p><strong> Join NYU Abu Dhabi, an exceptional place for exceptional people.</strong></p><br><br> <p>NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission.</p><br><br> <p>@WorkAtNYUAD</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Who We Are</b></p><br><br><br><p>At JINGDONG Logistics (JD Logistics), part of JD.com, we are a leading technology-driven supply chain and logistics solutions provider under JD.com. Built on deep expertise in automation, smart fulfilment, and data intelligence, we operate end-to-end logistics services that empower businesses and enhance customer experience. Our integrated networks span warehouse management, line-haul transportation, last-mile delivery, bulky items logistics, cold chain, and cross-border operations, ensuring speed, reliability, and precision at every stage.</p><br><br><br><p><b>Our Global Reach</b></p><br><br><br><p>JINGDONG Logistics has developed one of the most extensive logistics infrastructures in the world, managing more than 3,600 warehouses with over 34 million square meters of space. Our Global Smart Supply Chain Network combines highly automated warehousing with robust international transportation solutions, enabling seamless cross-border movement. Today, we operate 130+ bonded, direct mail, and overseas warehouses across 23 countries and regions, supported by our global brands, JoyLogistics and JoyExpress, as we continue scaling JD.com’s international logistics footprint.</p><br><br><br><p>Learn more about who we are and what we do: <span><u>https://www.jingdonglogistics.com/</u></span></p><br><br><br><p><b>What We Offer</b></p><br><br><br><p>Joining JD Logistics means helping shape the future of global supply chain and logistics. You’ll work with smart warehousing, autonomous delivery, and innovative technology that keeps goods moving worldwide. With a competitive salary, great locations, and a supportive, people-first culture, you’ll have the space to take on meaningful challenges, grow your skills, and make a real impact in a fast-evolving industry.</p><br><br><br><p><b>About The Team</b></p><br><br><br><p>You’ll be joining the JINGDONG Logistics team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment.</p><br><br><br><br><br>Key Responsibilities<ul><li>Own the labour planning strategy across all UAE warehouse operations, ensuring optimal deployment of manpower to meet operational demand while minimizing cost.</li><li>Develop and continuously enhance AI-driven labour planning tools to optimize workforce allocation, scheduling, productivity, and operational performance.</li><li>Design and maintain manpower planning models capable of managing complex warehouse operations consisting of 30+ operational roles and multiple cross-training requirements.</li><li>Analyse operational performance to identify bottlenecks, capacity constraints, labour waste, idle hours, and productivity improvement opportunities.</li><li>Develop strategies to balance labour capacity across multiple warehouse locations while maintaining service levels and minimizing overtime and operational cost.</li><li>Create forecasting models based on business demand, seasonality, order profiles, and operational trends to support accurate workforce planning.</li><li>Establish labour standards and productivity benchmarks, ensuring manpower plans are aligned with operational targets and customer requirements.</li><li>Develop dashboards, reporting tools, and real-time decision-support models that provide visibility into labour utilisation, productivity, capacity, and operational performance.</li><li>Lead continuous improvement initiatives focused on labour optimisation, process efficiency, cost reduction, and operational excellence using Lean methodologies.</li><li>Partner closely with Operations, Finance, HR, and Engineering teams to develop long-term workforce strategies, hiring plans, and operational improvement roadmaps.</li><li>Lead strategic projects focused on automation, AI adoption, and digital transformation of workforce planning processes.</li><li>Provide regular insights and recommendations to senior leadership through data analysis, scenario modelling, and business case development to support strategic decision-making.</li></ul><br><p><b>Job Requirements:</b></p><br><br><ul><li>Bachelor’s degree in Industrial Engineering, Supply Chain, Operations Research, Engineering, Computer Science, Business Analytics, Business, or a related field; Master’s degree is a plus.</li><li>5–8+ years of experience in workforce planning, warehouse operations, industrial engineering, operations excellence, or supply chain strategy within logistics, e-commerce, or contract logistics environments.</li><li>Proven experience developing and implementing labour planning strategies for complex warehouse operations, including multi-site workforce allocation and productivity optimization.</li><li>Demonstrated experience planning manpower across multiple facilities while balancing operational demand, labour cost, service levels, and productivity.</li><li>Strong understanding of warehouse operations, including inbound, outbound, inventory management, replenishment, value-added services, and fulfilment processes.</li><li>Proven experience managing complex labour structures involving multiple operational roles, cross-training requirements, certification levels, and workforce flexibility.</li><li>Strong knowledge of Lean principles and continuous improvement methodologies (Green Belt or above preferred), with experience in waste elimination, bottleneck analysis, process optimization, capacity balancing, and productivity improvement.</li><li>Demonstrated ability to identify operational bottlenecks, labour inefficiencies, idle capacity, and waste hours through data-driven analysis and implement sustainable improvement initiatives.</li><li>Experience developing labour standards, forecasting models, staffing algorithms, and manpower planning frameworks to support operational decision-making.</li><li>Proven experience leveraging Artificial Intelligence (AI), advanced analytics, or machine learning to improve workforce planning, forecasting, scheduling, or operational decision-making.</li><li>Strong capability in developing analytical and decision-support tools using Python, SQL, Power BI, Microsoft Excel (advanced modelling), VBA, or similar technologies.</li><li>Excellent analytical and problem-solving skills with the ability to structure complex operational challenges and translate data into practical, scalable solutions.</li><li>Strong understanding of capacity planning, scenario modelling, simulation techniques, and workforce optimization methodologies.</li><li>Experience working with operational KPIs including productivity (UPPH), labour utilisation, throughput, cost per unit, SLA adherence, and operational efficiency.</li><li>Proven project and program management experience, with the ability to lead multiple cross-functional initiatives simultaneously.</li><li>Excellent stakeholder management and collaboration skills, with experience partnering across Operations, Finance, HR, Engineering, Commercial, and Technology teams.</li><li>Strong communication and presentation skills, with the ability to present complex analysis and influence senior leadership.</li><li>Fluent in English (required); proficiency in Chinese is a strong advantage.</li><li>Comfortable working in a fast-paced, high-growth environment with a high degree of ownership and accountability.</li></ul><br><p><b>Nice-to-Have Qualifications</b></p><br><br><ul><li>Experience developing AI-powered workforce planning, scheduling, or labour optimisation solutions.</li><li>Experience with Operations Research techniques such as linear programming, optimisation algorithms, or simulation modelling.</li><li>Experience with Warehouse Management Systems (WMS), Labour Management Systems (LMS), warehouse automation, or robotics.</li><li>Experience within e-commerce, third-party logistics (3PL), or high-volume fulfilment operations.</li><li>Experience managing workforce planning across multiple countries or regions.</li><li>Lean Six Sigma Black Belt certification.</li><li>Familiarity with Generative AI technologies and their application within warehouse operations, process automation, and decision support.</li></ul><br><p><i>At JINGDONG Logistics, we’re committed to building a diverse and inclusive workplace where everyone can thrive. We’re proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.</i></p><br><br><br><p><b>Ready to apply?</b></p><br><br><br><p>Take the next step in your career, apply now and explore the opportunities we have to offer.</p><br><br><br><br> </div>

<p>LLM Solution Design & Development</p><ul><li><p>Architect and deliver production-ready LLM applications, including conversational agents, intelligent assistants, and RAG pipelines with advanced retrieval and re-ranking.</p></li><li><p>Build multi-agent systems using <strong>Lang Chain, Lang Graph, Auto Gen, or Crew AI</strong>; apply prompt engineering techniques to optimize model performance.</p></li><li><p>Integrate LLM solutions with enterprise systems via REST APIs and event-driven architectures.</p></li></ul><p>Model Fine-Tuning & Optimization</p><ul><li><p>Lead fine-tuning (LoRA, QLoRA, instruction tuning) and benchmark foundation models such as <strong>Open AI, Mistral, Llama, and Gemini</strong> for specific use cases.</p></li><li><p>Optimize for latency, cost, and throughput; design evaluation frameworks to measure accuracy, hallucination, and safety.</p></li></ul><p>Agentic AI & Workflow Automation</p><ul><li><p>Design agentic workflows with tool use, memory management, planning loops, and human-in-the-loop controls.</p></li><li><p>Build AI-driven automation pipelines across structured and unstructured enterprise data sources.</p></li></ul><p>Vector Databases & Knowledge Infrastructure</p><ul><li><p>Design and manage vector stores (Pinecone, Weaviate, Qdrant, FAISS, or <strong>PG Vector</strong>) with semantic and hybrid search strategies.</p></li><li><p>Maintain knowledge bases powering enterprise AI applications, ensuring accuracy and freshness of indexed content.</p></li></ul><p>Technical Leadership & Mentoring</p><ul><li><p>Guide and review the work of associate-level engineers; contribute to reusable frameworks and internal engineering standards.</p></li><li><p>Lead client workshops, technical discovery sessions, and proof-of-concept demonstrations; produce clear solution design documentation.</p></li></ul><p>Trend Monitoring & Innovation</p><ul><li><p>Evaluate emerging LLMs, multimodal models, and local inference runtimes; prototype new tools and share findings with the team.</p></li><li><p>Contribute to Beinex thought leadership through internal knowledge-sharing sessions, technical write-ups, or industry presentations.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5+ years of professional experience in AI Engineering, Machine Learning, or Applied NLP, with at least 2 years focused on LLMs and Generative AI.</p></li><li><p>Strong proficiency in Python and experience with <strong>Hugging Face Transformer Library, Lang Chain, Lang Graph, Fast API, and PyTorch</strong>.</p></li><li><p>Deep practical knowledge of LLM fine-tuning, prompt engineering, RAG pipeline design, and agentic AI development.</p></li><li><p>Hands-on experience with vector databases such as Pinecone, Weaviate, Qdrant, FAISS, or <strong>PG Vector</strong>, along with embedding models.</p></li><li><p>Proven ability to deploy and productionize AI solutions in AWS, Azure, or GCP using Docker and Kubernetes.</p></li><li><p>Experience integrating AI solutions with enterprise platforms through REST APIs, webhooks, or event-driven architectures.</p></li><li><p>Strong understanding of responsible AI principles, including hallucination mitigation, output evaluation, content safety, and model governance.</p></li><li><p>Excellent communication skills with the ability to explain complex technical concepts to both technical and business stakeholders.</p></li><li><p>Demonstrated ability to independently lead AI projects from solution design through production deployment.</p></li></ul><p>Preferred Certifications</p><ul><li><p>AWS Certified Machine Learning – Specialty, Azure AI Engineer, GCP Professional Machine Learning Engineer, or equivalent cloud AI/ML certification.</p></li><li><p>Deep Learning Specialization.</p></li><li><p>LLM Engineering or Generative AI certifications from recognized learning platforms such as <strong>Hugging Face, DeepLearning AI, or Databricks</strong>.</p></li><li><p>Certified Kubernetes Application Developer (CKAD) is an added advantage.</p></li></ul>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engineering Manager - Infrastructure based in United Arab Emirates.<br><br>This is an opportunity to lead a high-impact infrastructure team building the foundation that enables engineering organizations to deliver software faster and more reliably.<br><br>The role focuses on evolving internal platforms, CI/CD systems, and automation capabilities to support large-scale engineering operations.<br><br>You will guide a remote team of infrastructure engineers while driving improvements in scalability, efficiency, and developer experience.<br><br>The position combines technical leadership, people management, and strategic platform ownership in a fast-moving technology environment.<br><br>You will play a key role in reducing operational complexity through automation and AI-driven engineering practices.<br><br>This role is ideal for a servant leader who enjoys empowering teams, solving complex infrastructure challenges, and shaping the future of engineering productivity.<br><br>Accountabilities<br><br>The Engineering Manager - Infrastructure will lead the development and continuous improvement of a scalable infrastructure platform while enabling engineering teams to work efficiently and autonomously. The role requires a balance of technical expertise, leadership, and strategic thinking to create reliable systems, reduce operational overhead, and support business growth.<br><br>Lead and mentor a high-performing remote infrastructure engineering team, fostering autonomy, collaboration, accountability, and continuous improvement. Define and execute strategies for CI/CD platforms, artifact distribution systems, and infrastructure capabilities to support increased engineering scale. Drive automation initiatives focused on reducing manual processes, improving reliability, and creating a zero-toil engineering environment. Guide the adoption of AI-driven engineering practices to improve areas such as dependency management, incident resolution, cloud optimization, and developer support. Own the evolution of internal infrastructure platforms as products, ensuring they provide a seamless and effective experience for engineering teams. Translate technical needs into actionable roadmaps while collaborating with stakeholders across engineering and product teams. Review and contribute to technical architecture decisions, ensuring solutions are scalable, secure, and aligned with long-term goals. Support improvements to cloud infrastructure, Kubernetes environments, infrastructure-as-code practices, and CI/CD workflows. Promote engineering excellence through strong processes, technical reviews, and effective remote collaboration practices.<br><br>Requirements<br><br>The ideal candidate is an experienced engineering leader with strong infrastructure knowledge, a track record of developing engineering talent, and the ability to operate effectively in remote, asynchronous environments. They should combine technical depth with strong communication and strategic leadership skills.<br><br>Proven experience leading and growing engineering teams, including mentoring engineers toward senior and advanced roles. Strong stakeholder management skills with the ability to align technical initiatives with business objectives. Senior-level technical expertise with cloud platforms such as AWS, GCP, or similar environments. Hands-on experience with Kubernetes and modern infrastructure management practices. Experience with Infrastructure as Code tools such as Terraform, Argo CD, or comparable technologies. Background scaling CI/CD systems, including solutions such as Git Hub Actions with self-hosted runners or similar platforms. Backend engineering experience with proficiency in at least one programming language, such as Python. Ability to review complex architectures and contribute technically when needed, including workflow automation initiatives. Experience building efficient teams in remote-first and async working environments. Strong understanding of automation, platform engineering, and developer experience principles. Excellent written and verbal communication skills.<br><br>Preferred Qualifications<br><br>Experience transforming teams into AI-native or automation-first engineering organizations. Background in technical product management or strong product-oriented thinking. Experience implementing Fin Ops practices and improving cloud cost accountability.<br><br>Benefits<br><br>Competitive compensation package with location-based salary ranges. Equity opportunities through a company stock option program where applicable. Fully remote work environment with flexibility to work from anywhere. Home office support, co-working space assistance, and flexible time off. Comprehensive healthcare and wellbeing programs, including mental health support. Retirement and pension plans, with company contributions where applicable. Life and disability insurance coverage where relevant. Annual company gatherings, team offsites, and opportunities for in-person collaboration. Learning and development budget of up to $1,000 annually for courses, certifications, books, and professional growth. Opportunity to join an ambitious technology organization working on large-scale engineering challenges. Inclusive workplace culture focused on collaboration, diversity, and equal opportunity.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process 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>Data Privacy Notice: 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.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engineering Manager - Infrastructure based in United Arab Emirates.<br><br>This is an opportunity to lead a high-impact infrastructure team building the foundation that enables engineering organizations to deliver software faster and more reliably.<br><br>The role focuses on evolving internal platforms, CI/CD systems, and automation capabilities to support large-scale engineering operations.<br><br>You will guide a remote team of infrastructure engineers while driving improvements in scalability, efficiency, and developer experience.<br><br>The position combines technical leadership, people management, and strategic platform ownership in a fast-moving technology environment.<br><br>You will play a key role in reducing operational complexity through automation and AI-driven engineering practices.<br><br>This role is ideal for a servant leader who enjoys empowering teams, solving complex infrastructure challenges, and shaping the future of engineering productivity.<br><br>Accountabilities<br><br>The Engineering Manager - Infrastructure will lead the development and continuous improvement of a scalable infrastructure platform while enabling engineering teams to work efficiently and autonomously. The role requires a balance of technical expertise, leadership, and strategic thinking to create reliable systems, reduce operational overhead, and support business growth.<br><br>Lead and mentor a high-performing remote infrastructure engineering team, fostering autonomy, collaboration, accountability, and continuous improvement. Define and execute strategies for CI/CD platforms, artifact distribution systems, and infrastructure capabilities to support increased engineering scale. Drive automation initiatives focused on reducing manual processes, improving reliability, and creating a zero-toil engineering environment. Guide the adoption of AI-driven engineering practices to improve areas such as dependency management, incident resolution, cloud optimization, and developer support. Own the evolution of internal infrastructure platforms as products, ensuring they provide a seamless and effective experience for engineering teams. Translate technical needs into actionable roadmaps while collaborating with stakeholders across engineering and product teams. Review and contribute to technical architecture decisions, ensuring solutions are scalable, secure, and aligned with long-term goals. Support improvements to cloud infrastructure, Kubernetes environments, infrastructure-as-code practices, and CI/CD workflows. Promote engineering excellence through strong processes, technical reviews, and effective remote collaboration practices.<br><br>Requirements<br><br>The ideal candidate is an experienced engineering leader with strong infrastructure knowledge, a track record of developing engineering talent, and the ability to operate effectively in remote, asynchronous environments. They should combine technical depth with strong communication and strategic leadership skills.<br><br>Proven experience leading and growing engineering teams, including mentoring engineers toward senior and advanced roles. Strong stakeholder management skills with the ability to align technical initiatives with business objectives. Senior-level technical expertise with cloud platforms such as AWS, GCP, or similar environments. Hands-on experience with Kubernetes and modern infrastructure management practices. Experience with Infrastructure as Code tools such as Terraform, Argo CD, or comparable technologies. Background scaling CI/CD systems, including solutions such as Git Hub Actions with self-hosted runners or similar platforms. Backend engineering experience with proficiency in at least one programming language, such as Python. Ability to review complex architectures and contribute technically when needed, including workflow automation initiatives. Experience building efficient teams in remote-first and async working environments. Strong understanding of automation, platform engineering, and developer experience principles. Excellent written and verbal communication skills.<br><br>Preferred Qualifications<br><br>Experience transforming teams into AI-native or automation-first engineering organizations. Background in technical product management or strong product-oriented thinking. Experience implementing Fin Ops practices and improving cloud cost accountability.<br><br>Benefits<br><br>Competitive compensation package with location-based salary ranges. Equity opportunities through a company stock option program where applicable. Fully remote work environment with flexibility to work from anywhere. Home office support, co-working space assistance, and flexible time off. Comprehensive healthcare and wellbeing programs, including mental health support. Retirement and pension plans, with company contributions where applicable. Life and disability insurance coverage where relevant. Annual company gatherings, team offsites, and opportunities for in-person collaboration. Learning and development budget of up to $1,000 annually for courses, certifications, books, and professional growth. Opportunity to join an ambitious technology organization working on large-scale engineering challenges. Inclusive workplace culture focused on collaboration, diversity, and equal opportunity.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process 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>Data Privacy Notice: 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.