DevOps Engineer Jobs - Abu Dhabi UAE
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We’re Hiring: Machine Learning Operations Specialist | AI Platform Engineer<p> <strong>Employment Type:</strong> Full-Time</p><p> <strong>Level:</strong> Mid-Level to Senior</p><p>We are seeking a highly skilled <strong>Machine Learning Operations Specialist | AI Platform Engineer</strong> to build, operate, and optimize scalable platforms for machine learning and artificial intelligence workloads. This role will work closely with Data Scientists, ML Engineers, Software Engineers, DevOps, Cloud, and Security teams to establish reliable ML infrastructure, automate model deployment, and support the full machine learning lifecycle from development to production.</p> Key Responsibilities<p>• Design, build, and maintain scalable infrastructure for machine learning and AI workloads.</p><p>• Develop and operate ML platforms supporting model development, training, deployment, monitoring, and lifecycle management.</p><p>• Build automated MLOps pipelines for model training, validation, deployment, and retraining.</p><p>• Implement CI/CD and continuous integration practices for machine learning models and applications.</p><p>• Manage model versioning, artifact management, experiment tracking, and reproducibility.</p><p>• Automate machine learning workflows using appropriate orchestration and pipeline technologies.</p><p>• Deploy machine learning models into production environments across cloud, on-premises, or hybrid infrastructure.</p><p>• Build scalable model-serving infrastructure capable of supporting high-volume inference workloads.</p><p>• Monitor model performance, system health, resource utilization, latency, availability, and reliability.</p><p>• Establish monitoring for model drift, data drift, prediction quality, and production performance.</p><p>• Develop automated alerts and remediation processes for model and infrastructure issues.</p><p>• Collaborate with Data Scientists to productionize experimental models and machine learning solutions.</p><p>• Work with ML Engineers to improve model deployment, scalability, reliability, and operational efficiency.</p><p>• Support GPU and high-performance computing infrastructure for AI and machine learning workloads.</p><p>• Optimize compute, storage, networking, and cloud resources used by AI platforms.</p><p>• Implement Infrastructure as Code to automate the provisioning and management of AI infrastructure.</p><p>• Manage containerized machine learning environments using Docker and Kubernetes.</p><p>• Build reusable platform components and self-service tools for data science and ML teams.</p><p>• Establish standardized environments for model development, testing, staging, and production.</p><p>• Implement secure access controls, secrets management, encryption, and infrastructure security practices.</p><p>• Support data and model governance requirements throughout the machine learning lifecycle.</p><p>• Maintain model deployment standards, operational procedures, runbooks, and technical documentation.</p><p>• Troubleshoot model-serving, infrastructure, pipeline, deployment, and performance issues.</p><p>• Conduct root-cause analysis and implement long-term solutions for recurring platform problems.</p><p>• Support cloud migration, AI platform modernization, and large-scale machine learning initiatives.</p><p>• Evaluate new MLOps tools, AI infrastructure technologies, model-serving platforms, and automation frameworks.</p><p>• Establish platform reliability and operational metrics for ML and AI services.</p><p>• Support disaster recovery, backup, high availability, and business continuity for critical AI platforms.</p><p>• Collaborate with cybersecurity teams to ensure AI infrastructure meets organizational security requirements.</p><p>• Continuously improve automation, scalability, observability, reliability, and developer experience across the AI platform.</p>✅ Requirements<p>• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Engineering, or a related field.</p><p>• Previous experience in MLOps, Machine Learning Engineering, AI Platform Engineering, DevOps, Cloud Engineering, or a similar role.</p><p>• Strong understanding of machine learning lifecycle management and production ML systems.</p><p>• Hands-on experience deploying and operating machine learning models in production.</p><p>• Experience with MLOps platforms and tools such as MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, Azure Machine Learning, or equivalent technologies.</p><p>• Strong experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.</p><p>• Experience with Docker, Kubernetes, Helm, and containerized workloads.</p><p>• Strong understanding of CI/CD, Git, automation, and DevOps practices.</p><p>• Experience implementing Infrastructure as Code using Terraform, CloudFormation, Pulumi, or similar technologies.</p><p>• Strong programming or scripting skills using Python, Bash, Go, or similar languages.</p><p>• Understanding of machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, or equivalent technologies.</p><p>• Experience with model serving, APIs, inference infrastructure, and production ML systems.</p><p>• Knowledge of model monitoring, data drift, model drift, performance monitoring, and observability.</p><p>• Understanding of distributed systems, cloud architecture, networking, storage, and compute infrastructure.</p><p>• Experience working with GPU infrastructure or accelerated computing is advantageous.</p><p>• Familiarity with data pipelines, feature stores, model registries, and experiment-tracking systems.</p><p>• Understanding of AI security, access control, secrets management, and data-protection practices.</p><p>• Strong troubleshooting, debugging, and root-cause-analysis skills.</p><p>• Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, or similar platforms.</p><p>• Strong understanding of scalable, highly available, and fault-tolerant infrastructure.</p><p>• Excellent technical documentation and communication skills.</p><p>• Ability to collaborate effectively with Data Scientists, ML Engineers, Software Engineers, DevOps, Security, and business teams.</p><p>• Strong problem-solving and analytical capabilities.</p><p>• Ability to manage multiple technical projects and priorities in a fast-paced environment.</p><p>• Relevant cloud, Kubernetes, AI, ML, or MLOps certifications are advantageous.</p> What We Offer<p>• Competitive salary and comprehensive employee benefits.</p><p>• Opportunity to build and operate modern AI and machine learning platforms.</p><p>• Exposure to MLOps, cloud computing, Kubernetes, automation, and AI infrastructure.</p><p>• Professional development in machine learning operations, AI engineering, cloud architecture, and DevOps.</p><p>• Access to modern AI platforms, cloud infrastructure, GPU technologies, and MLOps tools.</p><p>• Opportunities to lead production AI and machine learning platform initiatives.</p><p>• Exposure to advanced machine learning and artificial intelligence projects.</p><p>• Support for relevant cloud, AI, Kubernetes, and professional certifications.</p><p>• Collaborative engineering environment focused on automation, reliability, scalability, and innovation.</p><p>• Recognition for improving ML platform performance, reliability, and operational efficiency.</p><ul><li>• Career progression toward Senior MLOps Specialist, AI Platform Engineer, MLOps Manager, AI Infrastructure Lead, or Head of AI Platform Engineering.</li></ul>
QA Automation Engineer - Web<br><br>Role Overview<br><br>We are seeking an experienced <strong>QA Automation Engineer - Web</strong> to support the delivery of high-quality, secure, and scalable digital solutions within a modern technology-driven environment.<br><br>This role will be responsible for designing, developing, and maintaining robust test automation frameworks while ensuring comprehensive quality assurance practices across the software development lifecycle. The successful candidate will play a key role in enhancing software quality through automation, API testing, defect management, and continuous testing within CI/CD pipelines.<br><br>The ideal candidate will have strong expertise in <strong>QA Automation, Playwright, TypeScript, API Testing, CI/CD, and Test Framework Development</strong>, with experience working closely with Product, Engineering, DevOps, and business stakeholders to deliver reliable digital experiences.<br><br>Key Responsibilities<br><br><ul><li>Design, develop, and maintain scalable web automation frameworks using Playwright and TypeScript. </li><li>Create and execute comprehensive test plans, test cases, and automated test scripts. </li><li>Build and maintain API automation solutions for functional, integration, and regression testing. </li><li>Take end-to-end ownership of test automation activities for assigned products and features. </li><li>Collaborate with Product Owners, Developers, DevOps Engineers, and business stakeholders to define quality strategies and acceptance criteria. </li><li>Partner with UAT teams to support test planning, execution, and validation activities. </li><li>Integrate automation suites into CI/CD pipelines to enable continuous testing and faster release cycles. </li><li>Identify, document, prioritize, and track defects throughout the defect lifecycle. </li><li>Perform root cause analysis and work closely with development teams to resolve quality issues. </li><li>Generate test execution reports, dashboards, and quality metrics for stakeholder visibility. </li><li>Ensure adherence to QA standards, testing methodologies, and best practices. </li><li>Continuously improve automation frameworks, test coverage, and quality processes. </li><li>Support quality engineering initiatives and contribute to testing strategy discussions. <br><br></li></ul><strong>Required Skills & Qualifications</strong> <br><br><ul><li>5-8 years of experience in Quality Assurance with a strong focus on web automation testing. </li><li>Proven expertise in:</li><ul><li>QA Automation </li><li>Web Application Testing </li><li>API Testing </li><li>Test Framework Development </li><li>Defect Management </li></ul><li>Strong hands-on experience with:</li><ul><li>Playwright </li><li>TypeScript </li><li>JavaScript </li></ul><li>Experience building automation frameworks from scratch. </li><li>Strong understanding of Software Testing Life Cycle (STLC). </li><li>Experience in test planning, test case design, and defect lifecycle management. </li><li>Hands-on experience with REST API testing and automation. </li><li>Familiarity with API testing tools and frameworks such as:</li><ul><li>Postman </li><li>Rest Assured </li><li>Playwright API Testing </li></ul><li>Strong understanding of automation design patterns including Page Object Model (POM). </li><li>Experience integrating automated testing into CI/CD pipelines. </li><li>Strong analytical, troubleshooting, and problem-solving skills. </li><li>Demonstrated ability to work independently and manage deliverables with minimal supervision. </li><li>Excellent communication and stakeholder management skills. </li><li>Experience collaborating within cross-functional Agile teams. <br><br></li></ul><strong>Preferred Skills & Experience</strong> <br><br><ul><li>Experience with CI/CD platforms such as:</li><ul><li>GitHub Actions </li><li>Jenkins </li><li>Azure DevOps </li></ul><li>Exposure to performance testing tools including:</li><ul><li>K6 </li><li>JMeter </li><li>Gatling </li></ul><li>Experience within Banking, FinTech, or Digital Transformation environments. </li><li>Knowledge of modern software delivery and DevOps practices. </li><li>Experience working within Agile and Scrum teams. </li><li>Familiarity with cloud-based application testing environments. </li><li>Strong focus on quality engineering and continuous improvement. <br><br></li></ul><strong>Education & Qualifications<br><br></strong><ul><li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline. </li><li>Master's degree is advantageous. </li><li>Relevant certifications in Software Testing, Automation Testing, Agile, or Cloud Technologies are considered a plus. <br><br></li></ul>Halian Group<br><br>With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realise tomorrow's potential. Discover the amazing things possible when you bring the right people and the right technologies together.<br><br>At Halian, we recognise that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organisations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives.<br><br>We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique.<br><br>QA Automation - Web in Abu Dhabi, United Arab Emirates<br><br>
<h2 class="h5">Job description</h2>
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QA Automation Engineer - Web Role Overview <p>We are seeking an experienced <strong>QA Automation Engineer - Web</strong> to support the delivery of high-quality, secure, and scalable digital solutions within a modern technology-driven environment.</p><br><br>
<p>This role will be responsible for designing, developing, and maintaining robust test automation frameworks while ensuring comprehensive quality assurance practices across the software development lifecycle. The successful candidate will play a key role in enhancing software quality through automation, API testing, defect management, and continuous testing within CI/CD pipelines.</p><br><br>
<p>The ideal candidate will have strong expertise in <strong>QA Automation, Playwright, TypeScript, API Testing, CI/CD, and Test Framework Development</strong>, with experience working closely with Product, Engineering, DevOps, and business stakeholders to deliver reliable digital experiences.</p><br><br> Key Responsibilities <ul>
<li>Design, develop, and maintain scalable web automation frameworks using <strong>Playwright and TypeScript</strong>. </li><li>Create and execute comprehensive test plans, test cases, and automated test scripts. </li><li>Build and maintain API automation solutions for functional, integration, and regression testing. </li><li>Take end-to-end ownership of test automation activities for assigned products and features. </li><li>Collaborate with Product Owners, Developers, DevOps Engineers, and business stakeholders to define quality strategies and acceptance criteria. </li><li>Partner with UAT teams to support test planning, execution, and validation activities. </li><li>Integrate automation suites into CI/CD pipelines to enable continuous testing and faster release cycles. </li><li>Identify, document, prioritize, and track defects throughout the defect lifecycle. </li><li>Perform root cause analysis and work closely with development teams to resolve quality issues. </li><li>Generate test execution reports, dashboards, and quality metrics for stakeholder visibility. </li><li>Ensure adherence to QA standards, testing methodologies, and best practices. </li><li>Continuously improve automation frameworks, test coverage, and quality processes. </li><li>Support quality engineering initiatives and contribute to testing strategy discussions.
</li></ul> Required Skills & Qualifications <ul>
<li>
<p>5-8 years of experience in Quality Assurance with a strong focus on web automation testing.</p><br><br>
</li><li>
<p>Proven expertise in:</p><br><br>
<ul>
<li>QA Automation </li><li>Web Application Testing </li><li>API Testing </li><li>Test Framework Development </li><li>Defect Management </li></ul>
</li><li>
<p>Strong hands-on experience with:</p><br><br>
<ul>
<li>Playwright </li><li>TypeScript </li><li>JavaScript </li></ul>
</li><li>
<p>Experience building automation frameworks from scratch.</p><br><br>
</li><li>
<p>Strong understanding of Software Testing Life Cycle (STLC).</p><br><br>
</li><li>
<p>Experience in test planning, test case design, and defect lifecycle management.</p><br><br>
</li><li>
<p>Hands-on experience with REST API testing and automation.</p><br><br>
</li><li>
<p>Familiarity with API testing tools and frameworks such as:</p><br><br>
<ul>
<li>Postman </li><li>Rest Assured </li><li>Playwright API Testing </li></ul>
</li><li>
<p>Strong understanding of automation design patterns including Page Object Model (POM).</p><br><br>
</li><li>
<p>Experience integrating automated testing into CI/CD pipelines.</p><br><br>
</li><li>
<p>Strong analytical, troubleshooting, and problem-solving skills.</p><br><br>
</li><li>
<p>Demonstrated ability to work independently and manage deliverables with minimal supervision.</p><br><br>
</li><li>
<p>Excellent communication and stakeholder management skills.</p><br><br>
</li><li>
<p>Experience collaborating within cross-functional Agile teams.</p><br><br>
</li></ul> Preferred Skills & Experience <ul>
<li>
<p>Experience with CI/CD platforms such as:</p><br><br>
<ul>
<li>GitHub Actions </li><li>Jenkins </li><li>Azure DevOps </li></ul>
</li><li>
<p>Exposure to performance testing tools including:</p><br><br>
<ul>
<li>K6 </li><li>JMeter </li><li>Gatling </li></ul>
</li><li>
<p>Experience within Banking, FinTech, or Digital Transformation environments.</p><br><br>
</li><li>
<p>Knowledge of modern software delivery and DevOps practices.</p><br><br>
</li><li>
<p>Experience working within Agile and Scrum teams.</p><br><br>
</li><li>
<p>Familiarity with cloud-based application testing environments.</p><br><br>
</li><li>
<p>Strong focus on quality engineering and continuous improvement.</p><br><br>
</li></ul> Education & Qualifications <ul>
<li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline. </li><li>Master's degree is advantageous. </li><li>Relevant certifications in Software Testing, Automation Testing, Agile, or Cloud Technologies are considered a plus.
</li></ul> Halian Group <p>With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realise tomorrow's potential. Discover the amazing things possible when you bring the right people and the right technologies together.</p><br><br>
<p>At Halian, we recognise that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organisations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives.</p><br><br>
<p>We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique.</p><br><br>
<p><strong>#LI-CC1</strong></p><br><br>
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<h2 class="h5">Job description</h2>
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About the job FULL STACK DEVELOPER
<p><strong>Job Summary</strong></p><br>
<p>We are seeking a highly skilled and experienced Senior Full Stack Developer with 6–8 years of professional experience in designing, developing, and delivering modern web applications and cloud-native solutions. The ideal candidate will possess strong expertise across both front-end and back-end development, with hands-on experience building scalable, secure, and high-performance applications using modern frameworks, microservices architectures, and cloud platforms.</p><br>
<p>The role requires deep knowledge of modern JavaScript frameworks, API-driven development, containerized deployments, cloud services, databases, and software engineering best practices. The successful candidate will work closely with architects, product owners, designers, QA teams, and DevOps engineers to deliver enterprise-grade digital solutions.</p><br>
<p><strong>Key Responsibilities</strong></p><br>
<ul><li>Design, develop, test, and maintain scalable full-stack web applications using modern front-end and back-end technologies.</li><li>Build responsive, accessible, and pixel-perfect user interfaces using React and modern JavaScript frameworks.</li><li>Develop reusable UI components and implement component-driven architecture principles.</li><li>Implement and consume RESTful APIs and integrate with enterprise systems and microservices.</li><li>Design and develop backend services using Node.js and/or Python.</li><li>Develop and maintain microservices-based architectures using Spring Boot, Node.js, or similar frameworks.</li><li>Create secure, scalable, and maintainable solutions following software engineering best practices and secure coding standards.</li><li>Design and optimize relational (SQL) and non-relational (NoSQL) databases, including modern vector database solutions.</li><li>Implement state management solutions such as Redux in complex enterprise applications.</li><li>Develop automated unit, integration, and end-to-end tests.</li><li>Participate in architecture reviews, code reviews, and technical design discussions.</li><li>Collaborate with DevOps teams to deploy and manage applications in Azure environments.</li><li>Build and maintain containerized applications using Docker and Kubernetes.</li><li>Support CI/CD pipelines and automate deployment processes.</li><li>Troubleshoot production issues, optimize application performance, and ensure application reliability.</li><li>Mentor junior developers and contribute to engineering standards and best practices.</li><li>Work effectively within Agile/Scrum delivery teams.</li></ul>
<p><strong>Required Skills & Qualifications</strong></p><br>
<p>Front-End Development</p><br>
<ul><li>Strong proficiency in HTML5, CSS3/SCSS, JavaScript (ES6+), React.js, NextJS, Angular, and Redux.</li><li>Experience building responsive and accessible web applications.</li><li>Hands-on experience integrating REST APIs.</li><li>Knowledge of cross-browser compatibility and responsive design principles.</li><li>Familiarity with UI/UX best practices.</li></ul>
<p>Back-End Development</p><br>
<ul><li>Strong experience with Node.js and/or Python and/or Go Lang and/or Microsoft .Net, RESTful API development, Spring Boot, and microservices architecture.</li><li>Experience designing scalable distributed systems.</li><li>Knowledge of event-driven and asynchronous architectures.</li></ul>
<p>Databases</p><br>
<ul><li>Strong experience working with SQL and NoSQL databases include Azure Postgres/MS SQL.</li><li>Exposure to vector databases and modern data retrieval patterns.</li></ul>
<p>Cloud & DevOps</p><br>
<ul><li>Strong experience with Azure DevOps, Azure Web Apps, CI/CD pipelines, Git, Docker, and Kubernetes.</li><li>Experience deploying and managing cloud-native applications.</li></ul>
<p>Testing & Quality</p><br>
<ul><li>Hands-on experience with Jest and Cypress.</li><li>Experience developing unit, integration, and end-to-end automated tests.</li><li>Strong commitment to code quality, maintainability, and automation.</li></ul>
<p>Security & Engineering Practices</p><br>
<ul><li>Knowledge of secure coding principles, OWASP best practices, and application security standards.</li><li>Understanding of performance optimization and production reliability practices.</li></ul>
<p><strong>Desired Skills</strong></p><br>
<ol><li>TypeScript.</li><li>Server-Side Rendering (SSR).</li><li>Micro-frontend architecture.</li><li>Monorepo environments.</li><li>Event-driven architectures.</li><li>Azure Kubernetes Service (AKS).</li><li>Infrastructure as Code (IaC).</li><li>AI/ML solution integration.</li><li>Experience with enterprise digital transformation initiatives.</li></ol>
<p><strong>Key Competencies</strong></p><br>
<ul><li>Strong analytical and problem-solving skills.</li><li>Ownership and accountability.</li><li>Excellent communication and stakeholder management.</li><li>Team collaboration and mentoring.</li><li>Attention to detail and commitment to quality.</li><li>Ability to work in fast-paced Agile environments.</li><li>Continuous learning mindset and adaptability.</li><li>Strong architectural thinking and solution design skills.</li></ul>
<p><strong>Experience & Education</strong></p><br>
<ul><li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.</li><li>6–8 years of hands-on experience in full-stack software development.</li><li>Proven experience delivering enterprise-scale applications in cloud environments.</li><li>Experience working in Agile/Scrum delivery teams.<br></li></ul><p>Vertical</p><br><p>Technology</p><br>
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The Technical Delivery Manager owns end-to-end technical delivery of assigned projects, ensuring solutions approved by the Architecture & Delivery Alignment Committee are delivered on time, in scope, and with required quality and compliance. The role coordinates AI, Data Science, Engineering, Infrastructure, and Security teams with Project Management, Architecture, Product, and clients. The TDM acts as the single technical delivery owner and escalation point for risks and dependencies. Own technical delivery from internal kick-off through UAT, client sign-off, and closure. Ensure adherence to CLIENT S Delivery Governance Framework, architecture standards, and security policies. Coordinate AI, Data, Engineering, DevOps, Infrastructure, and Security teams across delivery streams. Act as the client s primary technical delivery contact, with clear updates, workshops, and acceptance support. Lead lessons learned and recommend improvements to governance, tools, and repeatable delivery models.<p><strong>Desired Candidate Profile</strong></p>Bachelor s degree in Computer Science, Engineering, or a related field. 10+ years in technology delivery, including 5+ years in technical delivery, solution delivery, or engineering leadership. Technical grounding in AI, data platforms, big data, and modern application architectures. Cloud and on-premises infrastructure, DevOps, and CI/CD; security and non-functional requirements. Agile and hybrid delivery, RAID management, and change control (Jira, Confluence, MS Project).
<h2 class="h5">Job description</h2>
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About the job TECHNICAL LEAD
<p><strong>Job Summary</strong></p><br>
<p>We are seeking an experienced Technical Lead to drive the design, development, and delivery of enterprise digital solutions. The successful candidate will provide hands-on technical leadership to development teams, ensure solution quality, and work closely with business stakeholders, architects, and project managers to deliver scalable, </p><br>
<p>secure, and high-performing applications.</p><br>
<p>The Technical Lead will be responsible for technical governance, solution design, code quality, development standards, and mentoring developers throughout the software delivery lifecycle.</p><br>
<p><strong>Key Responsibilities</strong></p><br>
<ul><li>Lead the technical design, development, and implementation of enterprise applications and digital platforms.</li><li>Translate business and functional requirements into scalable and maintainable technical solutions.</li><li>Provide technical leadership to development teams and ensure adherence to architecture, coding, security, and quality standards.</li><li>Review solution designs, code, and technical deliverables to ensure alignment with best practices.</li><li>Design and oversee integrations with APIs, databases, cloud platforms, and third-party systems.</li><li>Collaborate with Business Analysts, Architects, Project Managers, and stakeholders throughout the delivery lifecycle.</li><li>Support Agile delivery methodologies, sprint planning, estimation, and technical task management.</li><li>Troubleshoot complex technical issues and provide guidance during development, testing, deployment, and production support.</li><li>Ensure application performance, scalability, security, reliability, and operational readiness.</li><li>Drive DevOps practices including CI/CD pipelines, source control, automated testing, and release management.</li><li>Mentor and coach developers, promote knowledge sharing, and foster engineering excellence.</li><li>Prepare and maintain technical documentation, architecture diagrams, and implementation guides.</li></ul>
<p><strong>Required Skills & Experience</strong></p><br>
<ul><li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.</li><li>8+ years of software development experience, including at least 3 years in a technical leadership role.</li><li>Strong experience with modern application development frameworks and architectures.</li><li>Hands-on experience with C#, .NET Core / ASP.NET Core or Node.js.</li><li>Hands-on experience with HTML, CSS, JavaScript (ES6+), React, and Redux.</li><li>Experience with REST API design and integration, SQL Server, and relational databases.</li><li>Experience with Azure Cloud Services, Azure Web Apps, Git, and Azure DevOps.</li><li>Experience designing microservices and enterprise integration solutions.</li><li>Strong understanding of software engineering best practices, design patterns, and secure coding principles.</li><li>Knowledge of CI/CD, automated testing, and DevOps practices.</li><li>Experience working within Agile and Scrum environments.</li><li>Excellent analytical, communication, stakeholder management, and leadership skills.</li></ul>
<p><strong>Preferred Qualifications</strong></p><br>
<ul><li>Experience with Microsoft Power Platform, including Power Apps and Power Automate.</li><li>Experience with Docker, Kubernetes, and containerized deployments.</li><li>Experience with TypeScript, automated testing frameworks such as Jest and Cypress, and cloud-native architectures.</li><li>Microsoft Azure certifications or equivalent cloud certifications.</li></ul><p>Vertical </p><br><p>Technology</p><br>
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<h2 class="h5">Job description</h2>
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<br><br>This is an opportunity for an experienced engineering leader to combine technical depth, product thinking, and people leadership while influencing digital strategy at scale. The organisation is building customer-facing products and internal technology platforms that are redefining how its businesses engage customers and unlock new revenue streams.<br><br>Client Details<br><br>Our client is a well-established regional organisation with a strong focus on digital innovation and technology-led growth. Through a dedicated product and innovation function, they are investing heavily in scalable platforms, customer experiences, and modern digital capabilities that support both existing businesses and new ventures.<br><br>Description<br><br>Key responsibilities include:<br>Lead multidisciplinary engineering teams across onshore and offshore locations.Partner closely with Product Managers, Designers, Marketing teams, and business stakeholders to deliver high-impact digital products.Drive software engineering excellence, governance, coding standards, and best practices.Evaluate and introduce modern technology solutions, frameworks, and engineering tools.Champion AI-assisted development practices and productivity-enhancing technologies.Oversee architecture decisions, API strategy, microservices design, and cloud deployments.Manage technical roadmaps, engineering KPIs, delivery performance, and resource planning.Reduce technical debt and improve platform scalability, stability, and performance.Conduct technology assessments, proof of concepts, and vendor evaluations.Support business stakeholders through workshops, demonstrations, requirement gathering, and solution design activities.Drive agile delivery practices and continuous improvement across engineering teams.<br><br><br>Profile<br><br>The successful candidate is likely to possess:<br>Bachelor's degree in Computer Science, Engineering, or a related discipline.10+ years of software engineering experience.5+ years' experience leading software engineering teams, including distributed and offshore teams.Experience working within product-led organisations and agile delivery environments.Strong knowledge of modern architecture patterns, including microservices and API-first design.Hands-on experience with cloud platforms, ideally Google Cloud Platform.Technical exposure to technologies such as Node.js, React.js, React Native, Next.js, and mobile application development.Experience with MACH architecture principles.Strong understanding of CI/CD, DevOps practices, source control, and software delivery lifecycle management.Knowledge of SQL and NoSQL databases.Excellent stakeholder management, communication, and presentation skills.Previous experience within digital products, e-commerce, marketplace, automotive, property, or consumer-facing platforms would be advantageous.<br><br><br>Job Offer<br>High visibility within a growing digital innovation function.Collaborative product-led culture focused on delivering measurable business outcomes.Long-term career growth within a well-supported and ambitious organisation.<br><br>
</div><h2 class="h5">Skills</h2>
<div data-jb-field="skills">software engineering manager, head of development, head of engineering, software manager, lead software engineer, technical lead<br>
</div>
<p>JOB SUMMARY :
We are seeking a DevOps Engineer to design, implement, and maintain the CI/CD pipelines, cloud infrastructure, and monitoring systems that support reliable, secure, and scalable delivery of our product.
KEY RESPONSIBILITIES :
• Design, build, and maintain CI/CD pipelines across all engineering teams
• Manage cloud infrastructure (AWS/Azure/GCP) using Infrastructure-as-Code (Terraform/CloudFormation)
• Implement monitoring, logging, and alerting systems for production environments
• Own containerization and orchestration strategy (Docker/Kubernetes)
• Drive security best practices, backup strategies, and disaster recovery planning
• Collaborate with engineering teams to streamline deployment and release processes
• Automate infrastructure provisioning, scaling, and configuration management
• Manage secrets, access controls, and cloud cost optimization
• Support incident response and participate in on-call rotation for infrastructure issues
• Continuously evaluate and adopt new tools/practices to improve deployment velocity and reliability</p><p>REQUIRED QUALIFICATIONS & SKILLS :
• 6+ years of DevOps/Site Reliability Engineering experience
• Strong hands-on experience with a major cloud provider (AWS, Azure, or GCP)
• Proficiency with Infrastructure-as-Code, containerization, and orchestration tools
• Experience with CI/CD tooling (Jenkins, GitLab CI, GitHub Actions, or similar)
• Strong scripting skills (Bash, Python, or similar)
• Good written and verbal communication skills in English
PREFERRED QUALIFICATIONS :
• Relevant cloud certification (AWS/Azure/GCP)
• Experience with service mesh and advanced Kubernetes operations
• Familiarity with cost optimization and FinOps practices
• Exposure to compliance frameworks (ISO 27001, SOC 2)</p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
DevOps Specialist is responsible for building and maintaining automation pipelines, improving deployment reliability, and ensuring stable, scalable infrastructure. Work closely with developers and operations teams to optimize CI/CD processes, monitor system performance, and implement tools and practices that enhance speed, quality, and operational efficiency across the software lifecycle.<br>
<br>
<strong>Qualifications</strong>
<ul>
<li>Bachelors Degree in Computer Science, Engineering or related field. </li><li>Advanced certifications in software engineering. </li><li>Minimum 3 years as hands-on DevOps </li><li>UAE National / Emirati or Expat
</li></ul>
<br>
<strong>Roles and Responsibilities</strong>
<ul>
<li>Support deployment, operation, and automation of cloud-native applications. Maintain CI/CD pipelines, managing Docker and Kubernetes environments, monitoring system performance, troubleshooting infrastructure issues, and assisting with cloud platform operations. Basic knowledge of Linux, Git, Docker, Kubernetes, CI/CD tools, and scripting (Bash or Python). </li><li>Design, develop, and maintain Java applications using industry best practices and standards under guidance from senior team members </li><li>Write clean, maintainable, and efficient code following established coding standards and participating in code reviews </li><li>Collaborate with product managers, business analysts, and other stakeholders to understand requirements and contribute to technical solutions </li><li>Actively learn new technologies and methodologies to improve development skills and contribute to team knowledge sharing </li><li>Write unit tests and maintain technical documentation for developed features and applications </li><li>Investigate, troubleshoot, and resolve software defects in a timely manner
</li></ul>
#LI-JS1 <br><br> </div>
<p>MLOps Engineer (Freelance)
Location: Abu Dhabi, Dubai, Fujairah, UAE (Hybrid)
Contract Duration: Initial 6-Month Contract with possibility of extension
Employment Type: Freelance / Independent Contractor
About the Role
We are seeking an experienced MLOps Engineer to join our team on an initial 6-month freelance contract. This is a hybrid role offering a combination of onsite and remote work.
The successful candidate will play a key role in building, automating, and maintaining the infrastructure and processes required to deploy, monitor, and scale machine learning solutions in production environments. This opportunity offers the potential for extension beyond the initial contract period, subject to project requirements and performance.
Key Responsibilities
Design, implement, and maintain scalable MLOps frameworks and automated machine learning workflows.
Build and manage CI/CD pipelines for machine learning model development, testing, deployment, and monitoring.
Collaborate closely with Data Scientists, Machine Learning Engineers, Data Engineers, and DevOps teams to operationalize AI solutions.
Deploy, monitor, and manage machine learning models in production environments.
Develop and maintain model versioning, governance, and monitoring processes.
Automate model retraining, validation, and deployment workflows.
Ensure reliability, scalability, security, and performance of machine learning infrastructure.
Implement logging, monitoring, and alerting mechanisms for model and platform performance.
Optimize cloud infrastructure and resource utilization for AI/ML workloads.
Troubleshoot and resolve issues related to model deployment, infrastructure, and data pipelines.
Promote MLOps best practices and contribute to continuous improvement initiatives.</p><p>Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
4+ years of experience in MLOps, DevOps, Machine Learning Engineering, or a similar role.
Strong experience with Python and machine learning lifecycle management.
Hands-on experience with MLOps platforms and tools such as MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML.
Strong knowledge of CI/CD tools such as GitHub Actions, GitLab CI/CD, Jenkins, or Azure DevOps.
Experience with containerization and orchestration technologies including Docker and Kubernetes.
Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Understanding of infrastructure as code tools such as Terraform or CloudFormation.
Experience with monitoring and observability tools.
Strong knowledge of software engineering best practices, automation, and system reliability.
Excellent analytical, troubleshooting, and communication skills.
Preferred Qualifications
Experience supporting Generative AI and Large Language Model (LLM) deployments.
Familiarity with Databricks, Spark, and large-scale data processing platforms.
Knowledge of Responsible AI, model governance, and compliance frameworks.
Experience working in enterprise-scale production environments.
Previous experience delivering projects within the UAE or GCC region.
If you are passionate about building reliable and scalable machine learning platforms and enjoy working at the intersection of AI, cloud infrastructure, and automation, we would love to hear from you.
Please note: This opportunity is open to freelancers/independent</p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>MLOps Engineer (Freelance)</p><p><br></p><p>Location: Abu Dhabi, Dubai, Fujairah, UAE (Hybrid)</p><p>Contract Duration: Initial 6-Month Contract with possibility of extension</p><p>Employment Type: Freelance / Independent Contractor</p><p><br></p><p>About the Role</p><p>We are seeking an experienced MLOps Engineer to join our team on an initial 6-month freelance contract. This is a hybrid role offering a combination of onsite and remote work.</p><p><br></p><p>The successful candidate will play a key role in building, automating, and maintaining the infrastructure and processes required to deploy, monitor, and scale machine learning solutions in production environments. This opportunity offers the potential for extension beyond the initial contract period, subject to project requirements and performance.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, implement, and maintain scalable MLOps frameworks and automated machine learning workflows.</li><li>Build and manage CI/CD pipelines for machine learning model development, testing, deployment, and monitoring.</li><li>Collaborate closely with Data Scientists, Machine Learning Engineers, Data Engineers, and DevOps teams to operationalize AI solutions.</li><li>Deploy, monitor, and manage machine learning models in production environments.</li><li>Develop and maintain model versioning, governance, and monitoring processes.</li><li>Automate model retraining, validation, and deployment workflows.</li><li>Ensure reliability, scalability, security, and performance of machine learning infrastructure.</li><li>Implement logging, monitoring, and alerting mechanisms for model and platform performance.</li><li>Optimize cloud infrastructure and resource utilization for AI/ML workloads.</li><li>Troubleshoot and resolve issues related to model deployment, infrastructure, and data pipelines.</li><li>Promote MLOps best practices and contribute to continuous improvement initiatives.</li></ul><p><br></p><p><br></p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p>Required Skills & Experience</p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.</li><li>4+ years of experience in MLOps, DevOps, Machine Learning Engineering, or a similar role.</li><li>Strong experience with Python and machine learning lifecycle management.</li><li>Hands-on experience with MLOps platforms and tools such as MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML.</li><li>Strong knowledge of CI/CD tools such as GitHub Actions, GitLab CI/CD, Jenkins, or Azure DevOps.</li><li>Experience with containerization and orchestration technologies including Docker and Kubernetes.</li><li>Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.</li><li>Understanding of infrastructure as code tools such as Terraform or CloudFormation.</li><li>Experience with monitoring and observability tools.</li><li>Strong knowledge of software engineering best practices, automation, and system reliability.</li><li>Excellent analytical, troubleshooting, and communication skills.</li></ul><p><br></p><p>Preferred Qualifications</p><ul><li>Experience supporting Generative AI and Large Language Model (LLM) deployments.</li><li>Familiarity with Databricks, Spark, and large-scale data processing platforms.</li><li>Knowledge of Responsible AI, model governance, and compliance frameworks.</li><li>Experience working in enterprise-scale production environments.</li><li>Previous experience delivering projects within the UAE or GCC region.</li></ul><p><br></p><p>Apply Now</p><p>If you are passionate about building reliable and scalable machine learning platforms and enjoy working at the intersection of AI, cloud infrastructure, and automation, we would love to hear from you.</p><p>Please note: This opportunity is open to freelancers/independent contractors only and requires availability for a hybrid working arrangement in UAE.</p></div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>We are looking for an experienced Test Lead with strong banking and credit/lending domain knowledge to lead the testing activities for an End-to-End Credit Decisioning programme .<br> The candidate will work closely with business, IT, risk, credit, TCOE and implementation partner teams from test planning through SIT, UAT, Go-Live and post-production support .<br> Roles & Responsibilities Own and manage the overall Test Strategy, Test Plan and Test Schedule .<br> Lead SIT, integration testing, regression testing, UAT and Go-Live readiness .<br> Define test scope, entry/exit criteria, quality gates and release-readiness criteria.<br> Manage the complete defect lifecycle , including triage, prioritization, tracking and closure.<br> Ensure adequate test coverage across Micro/mSME, Mid Corporate and Large Corporate lending .<br> Validate credit processes including credit origination, underwriting, financial spreading, risk rating, pricing, approval and limit setup .<br> Ensure proper testing of credit rules, segmentation, approval authority and workflow processes .<br> Lead API and integration testing with external and internal banking systems.<br> Review and validate test scenarios, test cases and expected results.<br> Remain hands-on and personally test high-risk and critical business scenarios .<br> Oversee performance and other non-functional testing activities.<br> Plan and lead UAT with business users and ensure formal business sign-off.<br> Prepare test status reports, highlight risks and provide clear Go/No-Go recommendations.<br> Lead and manage functional, automation, performance and vendor testing teams.<br> Coordinate with implementation partners and ensure timely delivery of testing activities.<br> Support Go-Live, hypercare and post-implementation verification .<br> Mentor team members and ensure high-quality testing standards.<br> 12+ years of overall experience in Software Testing / QA.<br> At least 6 years of experience as a Test Lead / Test Manager with team management experience.<br> Strong experience in Banking, Credit, Lending, Loan Origination or Credit Decisioning projects.<br> Strong understanding2of Micro/mSME, Mid Corporate and Large Corporate lending processes .<br> Experience delivering at least 2 end-to-end lending, loan origination or credit decisioning implementations from testing through Go-Live.<br> Strong experience in Test Strategy, Test Planning, SIT, UAT, Regression and Defect Management .<br> Hands-on experience in API and integration testing .<br> Experience with credit bureaux, risk-rating engines, financial spreading systems, core banking and external partner integrations.<br> Good understanding of SQL and data validation .<br> Experience with tools such as JIRA, Azure DevOps, ALM, Zephyr or qTest .<br> Knowledge of automation tools such as Selenium, Playwright, Cypress, REST Assured or Postman is preferred.<br> Experience managing internal, vendor and implementation-partner testing teams.<br> Experience working in Agile, Hybrid and vendor-led environments .<br> UAE/GCC banking experience is strongly preferred .<br> Knowledge of UAE banking and regulatory requirements is an advantage.<br> ISTQB certification is preferred.<br> Bachelor's degree in Computer Science, IT, Engineering, Banking & Finance or a related field.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><strong>JOB SUMMARY / INTRODUCTION:</strong><br>The Senior Automation Engineering manages test automation, engineering and devops practice across group IT which includes define, design and enhancements of test automation frameworks, design devops CICD pipeline solution, managing proof of concept for any new test automation tools into FAB landscape.</p><br><p><strong>KEY RESPONSIBILITIES</strong><br> </p><br><ul><li>Define, design, and implement enterprise grade test automation frameworks, maintaining and enhancing them for new requirements, and augmenting automation with AI-driven capabilities such as intelligent test generation, failure analysis, and test optimisation.</li><li>Develop and embed best practices in Test Automation, DevOps, and CI/CD, incorporating AI-enabled validation and decisioning to support shift-left quality, security, and performance controls.</li><li>Implement and support test automation, RPA, and AI-driven automation solutions across service lines, enabling scalable, reusable, and data-driven automation adoption across Group IT.</li><li>Define and build automation platforms and tools to support Group IT automation initiatives, leveraging UiPath RPA and AI components (e.g., Document</li><li>Understanding, OCR, machine-learning models) for intelligent process and test automation.</li><li>Design and implement DevOps CI/CD solutions, integrating automated testing, RPA workflows, and AI-assisted validation into pipelines to enable end-to-end, touchless delivery.</li><li>Identify, evaluate, and implement test automation, RPA, and AI-based tools, ensuring responsible and governed use of AI to enhance automation effectiveness, accuracy, and efficiency.</li><li>Champion an automation-first and AI-enabled approach, embedding intelligent automation into delivery standards and GIT policies to reduce manual effort, improve quality, accelerate time-to-market, and drive measurable cost efficiencies.</li><li>Define and design Test Automation framework which can be adopted by test automation teams.</li><li>POCs for new automation tool and solutions.</li><li>Support to test automation teams across testing Group IT.</li><li>Design and implement Test Automation solutions that will support the quick time to market and reduction in manual test efforts.</li><li>Design and implement Test Automation solutions.</li><li>Experience in developing Automation tools using open-source technology like Selenium (BDD, Appium, Rest Assured, Karate framework, adoption of cloud-based mobile device farms).</li><li>Proven experience in building automation solution that can be easily adopted by business and non-technical teams.</li></ul><p>Addressing and implementing solution for complex issues involving (PDF automation, recording of test execution etc.) to ensure latest technology adoption and continuous improvement.<br><strong>REQUIREMENTS / QUALIFICATIONS</strong><br> </p><br><ul><li>A seasoned IT professional with 14+ years of diversified experience in Test Automation, Functional Testing and DevOps including GitLab CICD with core competencies in Selenium, Cucumber, Core Java, VB, Docker, Kubernetes, UFT, IBM tool and service Virtualization.</li><li>Specialist in designing Test Automation framework in Selenium Java using BDD Cucumber for web mobile application.</li><li>Comprehensive experience in creation and maintenance of GitLab repository, creating end-to-end pipeline architecture, setting up GitLab CI/CD and deployment to Kubernetes platform using helm chart, and on-premise deployment.</li><li>Possesses strong hands-on experience in Web, Mobile, API and Desktop application development using VB and Java.</li><li>Expertise with cloud platform providing mobile test solution like BrowserStack.</li><li>Possesses strong hands-on experience in Service Virtualization using IBM RIT.</li><li>Experience in co-ordination between Offshore and Onshore, multiple vendors in larger projects.</li><li>In-depth business knowledge of Corporate Banking, Operations and Payment Systems.</li><li>Strong decision-making capability under complex and strenuous conditions of large critical initiatives (e.g., merger, UAE workday changes, DR testing of bank merger).</li><li>Highly adept at multi-tasking on several projects, mentoring team members and possessing excellent decision-making ability. Proactively evaluated risks and provided impact analysis along with alternate solutions to mitigate risks.</li><li>Expert in identifying, developing and implementing QA processes & procedures.</li><li>Specialized in building competent teams and successful timely delivery of enterprise-level projects.</li><li>Good experience in handling multiple projects simultaneously and interacting with different stakeholders.</li><li>Good experience in handling large automation teams and expertise in delivering complex projects.</li><li>Ensures data usage is always compliant with PCI/DDS regulation.</li><li>Excellent communication skills with a capacity to present, discuss, and explain issues coherently and logically, in writing and verbally.<br><strong>Preferred / Beneficial</strong><br> </li><li>Certified in AWS Cloud Practitioner, HashiCorp Terraform and IBM RFT tool.<br> </li></ul><br> <b>About Us:</b><br> First Abu Dhabi Bank (FAB) is the largest bank in the UAE and one of the world's largest and safest financial institutions. We offer a comprehensive range of personal and private banking services, including credit cards, Islamic banking, investments, loans, and mortgages. Our commitment to excellence and innovation drives us to provide top-tier financial solutions to our clients.<br> <b>Life at FAB:</b><br> Working at FAB means being part of a team of talented and passionate individuals with a shared vision to support the ambitions of our stakeholders to "Grow Stronger." We embrace the needs of our customers across the globe with a sense of responsibility and confidence driven by extensive expertise that can only be delivered by an ambitious world-class organization<br> <b>Career Development:</b><br> FAB offers unique career choices, a chance to innovate, craft solutions for the future, and express yourself in a performance-based culture that will unleash the best in you. Whether you are an experienced professional or just starting your career, FAB provides a range of learning and development initiatives to support all employees through training and skill development.<br> <b>Our Values:</b><br> At FAB, we place our customers at the core of our activities, live our values each day in every way, celebrate achievements, and empower each other to deliver leading solutions. We have structured plans for the recruitment and career progression of Emirati talent to enable them to make a mark in the financial and banking sector both regionally and globaly that rewards your hard work and dedication.<br> Join our team and be part of a journey to shape the future of banking.<br> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span></span><p><span>The Scrum Master will drive agile delivery across
multiple Digital Engineering projects and PODs within a complex enterprise
technology environment.</span><br></p><br><p><span>The role will own team ceremonies, sprint execution,
dependency management, delivery reporting, and coordination across product,
engineering, architecture, QA, DevOps, business stakeholders, and external
partners. The Scrum Master will remove impediments, strengthen delivery
discipline, and maintain alignment between business priorities and engineering
outcomes.</span><br></p><br><p><span>The ideal candidate brings consulting or enterprise
digital transformation experience, strong stakeholder management, vendor
coordination, and practical agile coaching across cross-functional engineering
teams.</span><br></p><br><p><b><span><u>Key Responsibilities:</u></span></b><br></p><br><b><span></span></b><br><br><p><b><span>Agile Delivery & Facilitation</span></b><br></p><br><ul><li><span>Facilitate daily stand-ups, sprint planning, backlog refinement, sprint reviews, and retrospectives.</span><br></li><li><span>Lead cross-POD synchronization sessions to manage dependencies across digital engineering teams.</span><br></li><li><span>Maintain sprint health, backlog readiness, delivery velocity, and clear ownership of committed outcomes.</span><br></li><li><span>Enforce Definition of Ready (DoR) and Definition of Done (DoD) standards.</span><br></li><li><span>Track progress, risks, actions, dependencies, and impediments; drive timely resolution and escalation.</span><br></li></ul><p><b><span>Stakeholder & Vendor Management</span></b><br></p><br><ul><li><span>Act as the coordination point between product, engineering, business teams, technology vendors, and delivery partners.</span><br></li><li><span>Maintain transparent communication across internal and external stakeholders on priorities, progress, and constraints.</span><br></li><li><span>Drive alignment on scope, timelines, technical dependencies, deliverables, and release readiness.</span><br></li></ul><p><b><span>Coaching & Continuous Improvement</span></b><br></p><br><ul><li><span>Coach PODs on agile values, practical delivery discipline, accountability, and self-organization.</span><br></li><li><span>Promote CI/CD, DevSecOps, automated testing, quality engineering, and continuous feedback practices.</span><br></li><li><span>Build a culture of engineering excellence, ownership, collaboration, learning, and continuous improvement.</span><br></li></ul><p><b><span>Planning, Reporting & Governance</span></b><br></p><br><ul><li><span>Support release planning, capacity planning, governance reviews, and leadership status reporting.</span><br></li><li><span>Maintain integrated plans, milestones, dependencies, RAID items, and delivery dashboards using Microsoft Project and agile tools.</span><br></li><li><span>Ensure sprint records, decisions, actions, releases, and delivery evidence remain current and audit-ready.</span><br></li></ul><br><span>Requirements</span><p><b><span><u>Qualifications & Experience:</u></span></b><br></p><br><ul><li><span>Bachelor’s degree in Computer Science, Engineering, or related discipline.</span><br></li><li><span>Minimum 8 years of experience in IT/product development, including 4 years as a Scrum Master or Agile Project Manager in digital engineering environments.</span><br></li><li><span>2+ years of experience coaching and training individuals or engineering teams in agile practices.</span><br></li><li><span>Demonstrated experience facilitating meetings at multiple organizational levels using advanced facilitation techniques.</span><br></li><li><span>4+ years of experience using tools (Jira, Azure DevOps, Project Online, etc.) and collaboration platforms (Microsoft Teams, SharePoint, Confluence).</span><br></li><li><span>Expert knowledge of Microsoft Project with at least 3 years of practical experience.</span><br></li><li><span>3+ years of experience with CI/CD, DevSecOps, automated testing, and modern software engineering practices.</span><br></li><li><span>Advanced working knowledge of Microsoft Office applications, including Outlook, Word, and Excel.</span><br></li><li><span>Certified Scrum Master (CSM, PSM I/II) required; SAFe certification preferred.</span><br></li><li><span>Consulting experience in digital transformation, digital engineering, product development, or enterprise technology programs is highly desirable.</span><br></li></ul><p><b><span><u>Key Competencies:</u></span></b></p><br><ul><li><span>Strong communication, leadership, and facilitation skills.</span><br></li><li><span>Proven ability to manage multiple engineering PODs in a scaled agile delivery environment.</span><br></li><li><span>Excellent problem-solving and conflict-resolution abilities.</span><br></li><li><span>Deep understanding of agile delivery metrics and engineering performance optimization.</span><br></li><li><span>Ability to work collaboratively with cross-functional product, engineering, architecture, QA, DevOps, and business teams.</span><br></li><li><span>High adaptability, resilience, and focus on delivering measurable business value through digital engineering.</span><br></li></ul><br> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<br><br>As an Backend Engineer, you will Build and own services supporting trade execution and related workflows.<br><br> <br><br>Client Details<br><br>Leading organisation in Abu Dhabi.<br><br>Description<br>Design, develop and maintain backend services and APIs using Python.Build and own services supporting trade execution and related workflows.Integrate with brokerage platforms and other third-party APIs.Build safe and reliable external integrations with appropriate authorisation, failure handling and traceability.Design and optimise PostgreSQL schemas and queries, ensuring data integrity, security and performance.Work closely with frontend and DevOps engineers to build, deploy and monitor production applications.Troubleshoot production issues and improve system latency, reliability and operational performance.Write automated tests and maintain clean, production-quality code.Take ownership of backend services while contributing across adjacent product areas when required.Use AI coding tools as part of the software development lifecycle to develop, investigate and validate changes.Work with product and AI teams where applications or agents need to interact safely with execution services.<br><br><br>Profile<br>3-10 years' experience in backend software engineering.Experience within financial services, trading, trade execution or Order Management Systems (OMS) is preferred but not required.Strong hands on Python development experience.Strong experience building and supporting production HTTP APIs and production experience with PostgreSQL.Comfortable debugging complex production APIs and third party integrations.Strong understanding of reliability, performance and failure handling in production systems.Full stack, SRE/DevOps or AI application experience is advantageous.Bachelor's degree in Computer Science, Information Technology or a related field, or equivalent practical experience.<br><br><br>Job Offer<br>Opportunity to own technically important backend services within a growing engineering environment.Hands on exposure to trading and execution technology.<br><br>
</div><h2 class="h5">Skills</h2>
<div data-jb-field="skills">OMS<br>
</div>
<ul><li>Design and develop robust backend solutions using Java, ensuring high performance and responsiveness to requests from the front-end.</li><li>Implement RESTful APIs, integrating with various data sources, and ensuring seamless communication between client and server.</li><li>Participate in code reviews, providing constructive feedback to peers and elevating overall code quality across the team.</li><li>Utilize frameworks like Spring and Hibernate to enhance application functionality and simplify development processes.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p><strong><u>JAVA</u></strong></p><p><strong> </strong></p><p>We are looking for a candidate with hands-on experience and knowledge in the following areas:</p><p><strong>Core Technical Skills</strong></p><ul><li><p>Strong understanding of <strong>latest Java technologies and updates in the Java ecosystem</strong></p></li><li><p>Experience with <strong>modern Java tech stack</strong> (e.g., Spring Boot, Microservices, REST APIs, etc.)</p></li><li><p>Exposure to <strong>AI-assisted coding tools and practices</strong></p></li><li><p>NoSQL database</p></li></ul><p><strong> </strong></p><p><strong>Additional / Good-to-Have Skills</strong></p><ul><li><p>Experience in <strong>DevOps practices</strong>, including CI/CD pipelines, automation, and deployment tools</p></li></ul><br><p><strong>Behavioral Competencies</strong></p><ul><li><p>Demonstrates a <strong>positive attitude and strong work ethic</strong></p></li><li><p>Shows <strong>ownership and accountability</strong> for tasks and deliverables</p></li><li><p>Ability to work <strong>independently as well as collaboratively</strong> in a team environment</p></li></ul><br><br><p> Detailed Technical stack</p><br><p><strong>Core Skills Details</strong></p><p><strong>Java</strong></p><p>OOP, Design Patterns, Multithreading, Java 8 and plus, Lambda, Stream API, REST service,JMS,Reactive Programming,JMS</p><p><strong>Spring Boot</strong></p><p>Annotations, Maven, Spring JPA, Spring AOP, Spring security, Junit</p><p><strong>Micro services</strong></p><p>Service Discovery, Cloud Config, Spring Cloud</p><p><strong>Databases</strong></p><p>Oracle, SQL Server, MYSQL,NOSQL</p><p><strong>Tools</strong></p><p>STS, Eclipse, SoapUI, Postman, Git</p><p><strong>Good To Have</strong></p><p><strong>API</strong></p><p>API Gateway knowledge</p><p><strong>DevOps</strong></p><p>TFS/Git, Gradle, Maven, Azure dev ops, Build pipelines</p><p><strong>Cloud Ready Add</strong></p><p>Docker files, Containers, Kubernetes, AWS, Azure</p><br><br><p><strong>Skills</strong></p><p>Java</p><p>Spring Boot</p><p>Microservices</p></li></ul>
<p><strong>Associate ML Ops Engineer</strong></p><p><br></p><p>AppliedAI is a pioneering AI technology company headquartered in Abu Dhabi, UAE. We are committed to innovation and excellence in artificial intelligence solutions across regulated industries such as healthcare, insurance, government, and financial services.</p><p><br></p><p>AppliedAI is at the forefront of redefining the future of work through cutting-edge AI solutions. We empower organizations by automating complex, document-heavy processes, ensuring unparalleled efficiency and accuracy. Our commitment to synergizing human intelligence with artificial intelligence helps our clients excel in highly regulated industries, including healthcare, finance, and insurance.</p><p><br></p><p>We're seeking an Associate ML Ops Engineer to join our growing team. In this role, you'll work at the intersection of operations and development, supporting our platform's reliability, performance, and security while helping our development teams build and maintain scalable solutions. This is a strong opportunity for someone early in their SRE/MLOps career to build technical depth alongside a senior team.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Help monitor and maintain production, development and staging environments, supporting high availability and performance of our architecture</li><li>Collaborate with DevOps, MLOps and Development teams to help troubleshoot and resolve issues</li><li>Support our observability stack, with guidance from senior engineers</li><li>Help maintain and improve our incident response processes</li><li>Assist with capacity planning and performance optimization for systems handling up to 10,000 requests per minute</li><li>Support compliance with security standards and regulatory requirements across our infrastructure</li><li>Participate in on-call rotation during regular business hours, with senior engineer backup for escalations</li><li>Help implement and maintain SLOs, SLIs, and SLAs</li><li>Support cloud cost optimization efforts alongside system performance and reliability</li><li>Support our CI/CD pipelines and deployment processes</li></ul><p><br></p><p><strong>Required Skills & Experience</strong></p><p><br></p><p><strong>Infrastructure Best Practices</strong></p><ul><li>Familiarity with infrastructure best practices such as the AWS and Azure Well-Architected Framework</li><li>Basic understanding of infrastructure patterns for high availability, fault tolerance, and disaster recovery</li><li>Understanding of infrastructure security fundamentals (principle of least privilege, network segmentation, encryption at rest/in transit)</li><li>Awareness of infrastructure compliance and governance frameworks</li><li>Interest in cost optimization strategies and FinOps practices</li><li>Exposure to Infrastructure as Code concepts (modularity, reusability, versioning)</li><li>Understanding of observability patterns (logging, metrics, tracing)</li></ul><p><br></p><p><strong>Technical Experience</strong></p><ul><li>1-2 years of experience in SRE, DevOps, or a similar role (internships and hands-on project experience will be considered)</li><li>Some experience with AWS services, including:</li></ul><p>- Compute: Lambda, ECS, Fargate</p><p>- Networking: ALB, ELB, API Gateway, Route53, CloudFront, AppSync</p><p>- Databases: DynamoDB, RDS (PostgreSQL), Aurora</p><p>- Messaging: EventBridge, SNS, SQS</p><p>- Security: Security Groups, Secrets Manager (SM), Systems Manager (SSM), IAM</p><p>- Developer Tools: ECR, CodeBuild, CodeDeploy</p><ul><li>Exposure to monitoring and observability tools</li><li>Basic knowledge of infrastructure as code (CDK and/or Terraform)</li><li>Understanding of event-driven architecture concepts</li><li>Some experience with containerization and microservices</li><li>Basic scripting and automation skills</li><li>Good problem-solving abilities and a systematic approach to debugging</li><li>Experience working in Agile environments is a plus</li></ul><p><br></p><p><strong>Preferred Qualifications</strong></p><ul><li>AWS / Azure / GCP certifications</li><li>Experience with Next.js, Node.js and Python</li><li>Familiarity with authentication systems (Auth0, SSO)</li><li>Awareness of regulatory compliance requirements (SOC 2, HIPAA, GDPR, PCI DSS)</li><li>Interest in ML/LLM operations</li><li>Exposure to multi-region AWS deployments</li><li>Interest in working with high-traffic systems</li><li>Basic experience with database management and optimization</li><li>Awareness of caching strategies and CDN implementations</li><li>Understanding of data lifecycle management and ETL processes</li><li>Exposure to vector and graph databases is a plus</li></ul><p><br></p><p><strong>What We Offer</strong></p><ul><li>Opportunity to work with cutting-edge technologies</li><li>Mentorship and guidance from senior SRE, Architecture, DevOps and MLOps engineers as you build your skills</li><li>Collaborative environment with dedicated Architecture, Development, DevOps & MLOps teams</li><li>Growth potential in a rapidly scaling startup</li><li>Work with a globally distributed team</li><li>Regular working hours with flexibility for occasional emergency support</li><li>A clear path to take on more ownership of SRE practices as you grow in the role</li></ul><p><br></p><p><strong>Required Qualities</strong></p><ul><li>Strong communication skills</li><li>Problem-solving mindset</li><li>Team player attitude</li><li>Self-motivated and proactive approach</li><li>Ability to work in a fast-paced startup environment</li><li>Strong interest in continuous learning and skill development</li></ul><p><br></p><p>The ideal candidate is early in their reliability engineering career, eager to build technical depth in a collaborative environment, and comfortable working in a dynamic startup setting while developing toward higher standards of system reliability and performance over time.</p><p><br></p><p><strong>Benefits:</strong></p><ul><li>Opportunity to work with a leading AI technology company.</li><li>Collaborative and innovative work environment.</li><li>Growing, entrepreneurial and forward-thinking culture.</li><li>Career growth and professional development opportunities.</li><li>Exposure to a thriving ecosystem working from our Abu Dhabi HQ.</li><li>21 days of paid annual leave.</li><li>Company provided health insurance.</li><li>Visa sponsorship for international candidates.</li></ul><p><br></p>
<p>As an Backend Engineer, you will Build and own services supporting trade execution and related workflows.
Client Details
Leading organisation in Abu Dhabi.
Description
* Design, develop and maintain backend services and APIs using Python.
* Build and own services supporting trade execution and related workflows.
* Integrate with brokerage platforms and other third-party APIs.
* Build safe and reliable external integrations with appropriate authorisation, failure handling and traceability.
* Design and optimise PostgreSQL schemas and queries, ensuring data integrity, security and performance.
* Work closely with frontend and DevOps engineers to build, deploy and monitor production applications.
* Troubleshoot production issues and improve system latency, reliability and operational performance.
* Write automated tests and maintain clean, production-quality code.
* Take ownership of backend services while contributing across adjacent product areas when required.
* Use AI coding tools as part of the software development lifecycle to develop, investigate and validate changes.
* Work with product and AI teams where applications or agents need to interact safely with execution services.
Job Offer
* Opportunity to own technically important backend services within a growing engineering environment.
* Hands on exposure to trading and execution technology.</p><p>* 3-10 years' experience in backend software engineering.
* Experience within financial services, trading, trade execution or Order Management Systems (OMS) is preferred but not required.
* Strong hands on Python development experience.
* Strong experience building and supporting production HTTP APIs and production experience with PostgreSQL.
* Comfortable debugging complex production APIs and third party integrations.
* Strong understanding of reliability, performance and failure handling in production systems.
* Full stack, SRE/DevOps or AI application experience is advantageous.
* Bachelor's degree in Computer Science, Information Technology or a related field, or equivalent practical experience.</p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span></span><p>We are looking for an experienced Technical Scrum Master with a strong airline background to lead agile delivery across our <b>Booking, Post-Booking, and check-in</b> platforms. You will work with cross-functional engineering teams to deliver customer-facing products such as reservations, ancillaries, servicing, and frequent flyer programs.<br></p><br>Key Responsibilities<br><ul><li>Facilitate all Scrum ceremonies: sprint planning, daily stand-ups, sprint reviews, retrospectives, and backlog refinement.<br></li></ul><br><ul><li>Coach teams and stakeholders on Agile and Scrum practices, and promote continuous improvement.<br></li></ul><br><ul><li>Partner with Product Owners to keep a well-groomed, prioritized backlog aligned to business goals.<br></li></ul><br><ul><li>Remove impediments and manage cross-team dependencies, especially across PSS, GDS, and check-in integrations.<br></li></ul><br><ul><li>Track and report delivery metrics (velocity, burn-down, cycle time, predictability) to leadership.<br></li></ul><br><ul><li>Engage with technical discussions on architecture, APIs, and integrations to support sound delivery decisions.<br></li></ul><br><ul><li>Coordinate release planning, risk management, and production readiness with engineering, QA, and DevOps.<br></li></ul><br><ul><li>Support scaled agile ceremonies (PI Planning, Scrum of Scrums) where applicable.<br></li></ul><br><br><span>Requirements<b><u>Required Skills & Experience</u></b> <br><br></span><ul><li><span>8+ years of total IT experience, with at least 4–5 years as a Scrum Master in agile software delivery.<br></span></li><li><span>Strong airline domain experience, including:<br></span></li><li><span>Booking: shopping, pricing, availability, reservations, payments, ancillaries<br></span></li><li><span>Post-Booking: changes, cancellations, refunds, re-accommodation, check-in, servicing<br></span></li><li><span>check-in: frequent flyer programs, accrual, redemption, tier management, partner integrations<br></span></li><li><span>Working knowledge of airline systems such as Amadeus, Sabre, or similar PSS/GDS platforms.<br></span></li><li><span>Technical background in software development or engineering, with an understanding of microservices, REST APIs, cloud platforms, and CI/CD.<br></span></li><li><span>Hands-on experience with Jira, Confluence, Azure DevOps, or similar tools.<br></span></li><li><span>Strong facilitation, communication, conflict-resolution, and stakeholder management skills.</span><br></li></ul><span><b><u>Preferred Qualifications</u></b></span><br><br><ul><li><span><span><b><u></u></b></span>Certifications: CSM, PSM I/II, SAFe Scrum Master (SSM), or equivalent. <br></span></li><li><span>Experience with SAFe or other scaled agile frameworks.<br></span></li><li><span>Experience working with distributed or offshore teams.<br></span></li><li><span>Bachelor’s degree in Computer Science, Engineering, or a related field.<br></span></li></ul><span><b><u></u></b><br></span><br><br> </div>
<strong>Overview<br><br></strong><strong>Role : <br><br></strong>We’re looking for a DevEx / DevOps Engineer to join the Infrastructure team to evolve our build, test, and deployment systems. You’ll design scalable pipelines, reduce cycle time, and raise the bar on security and observability across our delivery workflows. You’ll collaborate with engineers across the company to understand their tech stack challenges and deployment requirements and improve processes to make shipping feel effortless<br><br><strong>Responsibilities<br><br></strong><ul><li>Design, build, and maintain CI/CD pipelines (GitHub Actions) for microservices (Python / Go / Java / Kotlin / TypeScript) and Unity applications</li><li>Implement pipeline templates and reusable workflows to minimize pipeline duplication across repos</li><li>Integrate security into delivery (SAST/DAST, dependency scanning, secret scanning, SBOM generation).</li><li>Improve build performance (caching, parallelization)</li><li>Improve release automation (versioning, approvals, migrations, feature flags, release notes)</li><li>Partner with engineers to improve developer experience (local dev parity, preview environments, PR checks, AI-driven workflows)</li><li>Build observability around pipelines and deployments (metrics, logs, alerts, dashboards)</li><li>Support incident response for deployment and release issues</li><li>Continuously evaluate tools and practices to keep our delivery stack modern and cost-effective<br><br></li></ul><strong>Qualifications<br><br></strong><ul><li>3+ years in DevEx, DevOps, SRE or Platform Engineering</li><li>Strong hands-on experience with scripting and automation (Bash plus one of Node, Go, or Python)</li><li>Strong knowledge of GitHub and GitHub Actions</li><li>Strong debugging skills across CI logs, build systems, and runtime environments</li><li>Strong knowledge of containers (Docker)</li><li>Hands-on experience with Kubernetes</li><li>Hands-on experience deploying to cloud infrastructure (AWS/GCP/Azure), including IAM and networking</li><li>Infrastructure-as-Code experience (Terraform preferred)<br><br></li></ul><strong>Nice to Have<br><br></strong><ul><li>Experience with monorepos and advanced build systems (Bazel, Nx, Turborepo, Pants)</li><li>Experience administering GitHub Enterprise Server (self-hosted)</li><li>Experience administering self-hosted JFrog Artifactory (and related JFrog tooling)</li><li>Supply chain security (SLSA, Sigstore, provenance, signing, attestations)</li><li>Observability tooling (Prometheus/Grafana, Datadog, OpenTelemetry)</li></ul>
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