Devops Engineer Jobs

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Senior AI Automation Engineer — Production-Ready Systems

Zadix•Dubai, AE
5+ Years Exp
Posted: 2/10/2026
Join our team of senior engineers building production-ready AI automation systems that eliminate busywork for businesses worldwide. The principles that guide how we work and build together We prioritize technical excellence and give engineers the autonomy to build great systems. Production Ready Everything we build must work reliably in production with proper monitoring and error handling. Client Success We measure our success by the measurable value we deliver to our clients. The AI field moves fast, and we invest in keeping our team at the cutting edge. Why Join Zadix We offer more than just a job—we offer the opportunity to shape the future of business automation Remote-First Culture Work from anywhere with flexible hours and async communication Competitive Compensation Top-tier salaries plus equity and performance bonuses Small Team Impact Direct influence on product direction and company growth Cutting-Edge Tech Work with the latest AI tools and production-grade systems Work-Life Balance Unlimited PTO and flexible working arrangements Learning budget and conference attendance support Open Positions Join our growing team and help build the next generation of AI automation systems Build production-ready AI automation systems using LangGraph, n8n, and modern observability tools. Requirements • 5+ years Python/TypeScript experience • Experience with LLM applications and agent frameworks • Production system design and deployment • Strong understanding of microservices architecture Responsibilities • Design and implement AI automation workflows • Build robust error handling and retry mechanisms • Integrate with client systems (CRMs, ERPs, databases) • Implement observability and monitoring solutions Ensure reliable deployment and monitoring of AI automation systems across cloud environments. Requirements • 4+ years DevOps/SRE experience • Kubernetes and Docker expertise • CI/CD pipeline design and implementation • Monitoring and alerting systems (Prometheus, Grafana) Responsibilities • Design and maintain deployment pipelines • Implement monitoring and alerting for AI systems • Ensure high availability and disaster recovery Work directly with clients to understand requirements and design automation solutions. Requirements • 3+ years technical consulting experience • Strong communication and presentation skills • Understanding of business processes and workflows • Experience with system integrations Responsibilities • Conduct client discovery and requirements gathering • Design automation workflows and system architecture • Present technical solutions to stakeholders • Support implementation and client onboarding Don't see the right role? We're always looking for exceptional talent. Send us your resume and tell us how you'd like to contribute. #J-18808-Ljbffr

Senior Python Engineer (Backend and Data)

GSSTech Group•Dubai, AE
5+ Years Exp
Posted: 1/10/2026
About the Role We are hiring a Senior Python Engineer to design, build and run scalable backend systems that power data driven applications. You will develop secure, high performance APIs and microservices, build backend services that serve datasets efficiently, and own data transformation pipelines from ingestion to delivery. This role suits an engineer who writes clean production code and also takes ownership of how that code is tested, deployed and run in production. Key Responsibilities Backend and API Development • Design, develop and maintain RESTful APIs and microservices using Python (FastAPI, Flask, Django) • Build asynchronous, high concurrency services using asyncio, and optimise I/O operations for performance • Design and maintain scalable internal web frameworks and take them to production • Work with front end teams to integrate user facing features with server side logic • Write clean, efficient, well documented code that follows coding standards API Security • Implement authentication, authorisation and encryption across microservices • Secure APIs using OAuth 2.0, JWT and API gateways Data Access and Database Management • Build backend systems that serve datasets through APIs and other interfaces • Implement data access layers using ORMs such as SQLAlchemy and Django ORM (models, CRUD, querying, transactions) • Design and optimise database schemas for relational and NoSQL stores • Tune query and database performance for fast, reliable data retrieval Data Transformation and ETL • Design and maintain ETL pipelines to extract, clean, aggregate and enrich data • Ensure data integrity, quality and consistency across all transformation processes • Work with big data and streaming technologies such as Spark, Kafka and Hadoop Engineering Practices and DevOps • Build and maintain CI/CD pipelines for automated testing and deployment • Write unit and integration tests and debug production issues using logging and profiling tools • Use Git for version control, branching, code reviews and pull requests • Produce clear technical documentation and contribute to code reviews Required Skills and Qualifications • Bachelor's degree in Computer Science, Information Technology or a related field • 5+ years of professional experience in Python backend development • Strong hands on experience with FastAPI and/or Flask, plus working knowledge of Django • Proven experience with asyncio and concurrent programming • Solid understanding of microservices architecture • Experience securing APIs with OAuth, JWT and API gateways • Strong SQL skills and experience with SQLAlchemy or Django ORM • Experience with relational (PostgreSQL, MySQL, Oracle) and NoSQL (MongoDB, Redis, Cassandra) databases • Experience building ETL or data transformation pipelines • Familiarity with big data technologies (Spark, Kafka, Hadoop) and data warehousing concepts • Experience building and maintaining CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, Azure DevOps) • Proficiency in Shell scripting • Strong Git and collaborative development experience • Strong problem solving skills and attention to detail • Excellent communication skills with technical and business stakeholders Preferred Skills • Experience with cloud platforms (AWS, Azure or GCP) • Containerisation and orchestration with Docker and Kubernetes • Knowledge of data governance, compliance and data security best practices • Experience in banking, fintech or other regulated environments

Senior DevOps Engineer - Cloud CI/CD & Kubernetes

D4 Insight•Dubai, AE
5+ Years Exp
Posted: 1/10/2026
D4 Insight is seeking experienced DevOps Engineers to design, implement, and manage enterprise CI/CD pipelines across Azure and AWS for banking applications, APIs, microservices, and digital platforms. Immediate joining and 12-month contract duration are noted. Ideal candidates bring 5+ years of enterprise DevOps expertise, proficiency with GitHub, Azure DevOps, and container orchestration tools like Kubernetes/OpenShift. #J-18808-Ljbffr

Senior Technical Software Engineer - Java Full Stack - Emiratisation)

طيران الإمارات - غير ذلك•Dubai, AE
5+ Years Exp
Posted: 29/9/2026
Job Purpose 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’. Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation, we're always at the forefront, pushing boundaries. We're on the lookout for exceptional IT professionals to fortify our position as leaders in the industry. Embark on a journey with the world’s largest international airline and become a vital part of our cutting-edge information and technology team as a Senior Technical Software Engineer - Java. The Senior Technical Software Engineer - Java, is a fully participating member of an agile feature team who works independently on software development and problem resolution. The role involves technical design, software development, implementation, and maintenance of software solutions/products that support the Emirates Group Business. In this role, you will: • Collaborate with the team to deliver technical design, development and deployment of complex solutions within relevant product. Carry out effective technical design reviews to ensure that the right architecture patterns are used by the team. • Drive the adoption of Engineering practices , implement development process automation, lean software development, built-in-quality, test driven development, agile practices, and timely root cause analysis and blameless incident post-mortems. • Partner with cross-functional teams to determine viability of solutions. Evaluate current problems, future requirements and existing solutions in medium to large projects to enable high level design and drive proof-of-concepts and implement prototypes to validate ideas. • Investigate, debug and fix complex issues involving corner cases and rare conditions. Support continuous improvement by investigating alternatives and new technologies and presenting these for architectural review. • Contribute to sprint/work design and planning by providing subject matter expertise on business domain and relevant technologies and actively contribute to technology specific community of practices. • Manage and mentor Software Engineers to allow for skill/knowledge development through advice, coaching, and training opportunities. Responsible for their technical deliveries and adherence to design and coding standards and practices. • Ensure optimal use of enterprise application platforms, tools and libraries in line with the approved technology architecture. • Responsible for corrective, adaptive, preventative and perfective maintenance of products in collaboration with other capabilities for the relevant product. Qualification To be considered for the role you must meet the below requirements: • Degree or Honours (12+3 or equivalent) in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering. • Minimum 5 years of experience in application development using Java (versions 8, 11, or 17) with Spring Boot and familiarity with code quality tools such as SonarQube and ShiftLeft. • Strong expertise in Java frameworks and libraries including Spring Boot, Spring Cloud, Spring WebFlux, JPA, Hibernate, and test frameworks (JUnit/TestNG). • Experience with front-end technologies such as ReactJS and NextJS for building user interfaces. • Proficiency in messaging and integration technologies including Solace, Tibco, and Kafka, and familiarity with Netflix OSS components. • Hands-on experience with containerisation and orchestration tools such as Docker, Kubernetes, and OpenShift, and knowledge of hybrid cloud architecture (AWS, Azure). • Database expertise in Oracle SQL or similar RDBMS, NoSQL databases, and building RESTful API services. • Strong understanding of CI/CD and DevOps principles with experience in lean software development, test-driven development, and automated deployments. • Ability to design and implement event-driven architectures, reactive programming solutions, and scalable systems following SRE principles and code review best practices. • Experience in technology evaluation, vendor selection, and managing technology platforms for DevOps including data pipelines, code management, and continuous integration/deployment. • Excellent problem-solving skills, agile development experience, and ability to provide production support for business-critical applications. Join the Product Engineering team, where we are hiring talented software engineers to develop and support a diverse range of applications that power the growth of Emirates Airlines and the Group. Our business interests span passenger services, airport and ground operations, crew and network operations, air cargo sales and operations, and holiday and leisure products and services on a global scale. If you are passionate about leveraging cutting-edge technologies to support diverse and large-scale operations, we invite you to apply and to contribute to the continued success and innovation at Emirates Group. Leadership Role: No Salary & benefits Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. 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.

Full Stack Developer Backend Heavy

Legend Holding Group Ltd•Dubai, AE
4+ Years Exp
Posted: 29/9/2026
Design, develop, and maintain scalable backend services and REST APIs.Build and maintain microservices using Java Spring Boot or Node.js.Design efficient database schemas, queries, indexes, and data-access layers.Develop event-driven systems using Kafka.Implement caching, asynchronous processing, and distributed workflows.Integrate third-party APIs and external services.Build frontend features using React.js / Next.js.Work closely with Product, QA, and DevOps teams.Write clean, maintainable, testable, and production-ready code.Participate in code reviews and maintain engineering standards.Troubleshoot production issues and perform root-cause analysis.Optimize applications for scalability, performance, and reliability.Contribute to CI/CD pipelines and cloud deployments. We are looking for a Backend-Heavy Full Stack Developer with 4+ years of experience building scalable, reliable, and production-grade applications. The candidate should have strong backend engineering expertise in either Java Spring Boot or Node.js, along with hands-on experience in React-based frontend development and modern cloud-native infrastructure.Mandatory Technical SkillsBackend — Primary RequirementStrong expertise in one of the following:Java TrackJava 8+Spring BootSpring MVCSpring Data JPA / HibernateREST APIsMicroservicesMaven/GradleJUnit / MockitoORNode.js TrackNode.jsTypeScript / JavaScriptNestJS / Express.jsREST APIsMicroservicesJestAsynchronous programmingDatabasesStrong SQL knowledgePostgreSQL / MySQLDatabase designQuery optimizationIndexing and transactionsMongoDB or other NoSQL databases is a plus.Kafka & Distributed SystemsHands-on experience with Apache KafkaProducers and consumersConsumer groups and partitioningEvent-driven architectureMessage processing and failure handlingUnderstanding of asynchronous and distributed systemsAWS — MandatoryHands-on experience with AWS services and cloud deployments.Expected knowledge of services such as:AWS EKSEC2RDSS3IAMCloudWatchECRVPC / networking fundamentalsDocker & & Kubernetes — MandatoryStrong understanding of DockerCreating and managing Docker imagesDockerfile optimizationContainerized application deploymentsKubernetes fundamentalsDeployments, Services, ConfigMaps, SecretsUnderstanding of pods, namespaces, health checks, and resource managementExperience deploying applications on AWS EKS is a strong requirement.CI/CD — MandatoryStrong hands-on experience with GitHub Actions.Strong understanding of DockerCreating and managing Docker imagesDockerfile optimizationContainerized application deploymentsKubernetes fundamentalsDeployments, Services, ConfigMaps, SecretsUnderstanding of pods, namespaces, health checks, and resource managementExperience deploying applications on AWS EKS is a strong requirement.CI/CD — MandatoryStrong hands-on experience with GitHub Actions.Building CI/CD pipelinesAutomated build and test workflowsDocker image build and pushDeployment automationEnvironment-specific configurationsAWS integrationBasic CI/CD security practicesFrontendFrontend experience is required but not the primary focus.React.js / Next.jsTypeScript / JavaScriptREST API integrationComponent-based developmentBasic frontend debuggingAngular is not required.Engineering FundamentalsStrong understanding of:Data Structures & AlgorithmsObject-Oriented ProgrammingSOLID principlesDesign PatternsREST API designMicroservices architectureDistributed systemsDatabase transactions and concurrencyAuthentication & AuthorizationSystem scalability and performanceUnit and integration testingLogging, monitoring, and observabilityGood to HaveAWS EKS production experienceKubernetes troubleshootingHelmRedisKafka-based distributed systemsTerraformAPI GatewayPrometheus / GrafanaDatadog or similar observability toolsExperience designing systems from scratchProduction ownership of high-traffic servicesIdeal Skill DistributionBackend Engineering: 65–70% Cloud / DevOps: 15–20% Frontend: 10–15%This is not a frontend-heavy Full Stack role. The candidate should be capable of independently designing and implementing backend services and understanding the infrastructure required to run them in production.Preferred CandidateA strong candidate should be able to take a requirement from:Requirement → Database Design → API Design → Backend Implementation → Kafka/Event Processing → Frontend Integration → Docker → CI/CD → Kubernetes/EKS → Production Monitoring and independently own the feature through to production.Experience 4+ years of professional software development experience, with significant hands-on backend development experience in Java Spring Boot or Node.js. Core Technology Stack Java Spring Boot OR Node.js | React/Next.js | PostgreSQL | Kafka | Redis | AWS | Docker | Kubernetes/EKS | GitHub Actions

Senior DevOps Engineer — CI/CD, OpenShift & GitOps

GSS Group•Dubai, AE
0+ Years Exp
Posted: 29/9/2026
A leading technology firm is looking for a DevOps Engineer to support a prestigious banking client in Dubai. In this role, you'll design and manage CI/CD pipelines, develop GitOps principles, and troubleshoot complex issues. The ideal candidate has strong real-time experience with DevOps tools like Jenkins and SonarQube, along with expertise in Groovy scripting and GitHub Actions. This is an opportunity to work in a dynamic environment focused on operational excellence and deliver cutting-edge solutions. #J-18808-Ljbffr

Full Stack Developer Backend Heavy

Legend Holding Group Ltd•Dubai, AE
4+ Years Exp
Posted: 29/9/2026
Design, develop, and maintain scalable backend services and REST APIs.Build and maintain microservices using Java Spring Boot or Node.js.Design efficient database schemas, queries, indexes, and data-access layers.Develop event-driven systems using Kafka.Implement caching, asynchronous processing, and distributed workflows.Integrate third-party APIs and external services.Build frontend features using React.js / Next.js.Work closely with Product, QA, and DevOps teams.Write clean, maintainable, testable, and production-ready code.Participate in code reviews and maintain engineering standards.Troubleshoot production issues and perform root-cause analysis.Optimize applications for scalability, performance, and reliability.Contribute to CI/CD pipelines and cloud deployments. We are looking for a Backend-Heavy Full Stack Developer with 4+ years of experience building scalable, reliable, and production-grade applications. The candidate should have strong backend engineering expertise in either Java Spring Boot or Node.js, along with hands-on experience in React-based frontend development and modern cloud-native infrastructure.Mandatory Technical SkillsBackend — Primary RequirementStrong expertise in one of the following:Java TrackJava 8+Spring BootSpring MVCSpring Data JPA / HibernateREST APIsMicroservicesMaven/GradleJUnit / MockitoORNode.js TrackNode.jsTypeScript / JavaScriptNestJS / Express.jsREST APIsMicroservicesJestAsynchronous programmingDatabasesStrong SQL knowledgePostgreSQL / MySQLDatabase designQuery optimizationIndexing and transactionsMongoDB or other NoSQL databases is a plus.Kafka & Distributed SystemsHands-on experience with Apache KafkaProducers and consumersConsumer groups and partitioningEvent-driven architectureMessage processing and failure handlingUnderstanding of asynchronous and distributed systemsAWS — MandatoryHands-on experience with AWS services and cloud deployments.Expected knowledge of services such as:AWS EKSEC2RDSS3IAMCloudWatchECRVPC / networking fundamentalsDocker & & Kubernetes — MandatoryStrong understanding of DockerCreating and managing Docker imagesDockerfile optimizationContainerized application deploymentsKubernetes fundamentalsDeployments, Services, ConfigMaps, SecretsUnderstanding of pods, namespaces, health checks, and resource managementExperience deploying applications on AWS EKS is a strong requirement.CI/CD — MandatoryStrong hands-on experience with GitHub Actions.Strong understanding of DockerCreating and managing Docker imagesDockerfile optimizationContainerized application deploymentsKubernetes fundamentalsDeployments, Services, ConfigMaps, SecretsUnderstanding of pods, namespaces, health checks, and resource managementExperience deploying applications on AWS EKS is a strong requirement.CI/CD — MandatoryStrong hands-on experience with GitHub Actions.Building CI/CD pipelinesAutomated build and test workflowsDocker image build and pushDeployment automationEnvironment-specific configurationsAWS integrationBasic CI/CD security practicesFrontendFrontend experience is required but not the primary focus.React.js / Next.jsTypeScript / JavaScriptREST API integrationComponent-based developmentBasic frontend debuggingAngular is not required.Engineering FundamentalsStrong understanding of:Data Structures & AlgorithmsObject-Oriented ProgrammingSOLID principlesDesign PatternsREST API designMicroservices architectureDistributed systemsDatabase transactions and concurrencyAuthentication & AuthorizationSystem scalability and performanceUnit and integration testingLogging, monitoring, and observabilityGood to HaveAWS EKS production experienceKubernetes troubleshootingHelmRedisKafka-based distributed systemsTerraformAPI GatewayPrometheus / GrafanaDatadog or similar observability toolsExperience designing systems from scratchProduction ownership of high-traffic servicesIdeal Skill DistributionBackend Engineering: 65–70% Cloud / DevOps: 15–20% Frontend: 10–15%This is not a frontend-heavy Full Stack role. The candidate should be capable of independently designing and implementing backend services and understanding the infrastructure required to run them in production.Preferred CandidateA strong candidate should be able to take a requirement from:Requirement → Database Design → API Design → Backend Implementation → Kafka/Event Processing → Frontend Integration → Docker → CI/CD → Kubernetes/EKS → Production Monitoring and independently own the feature through to production.Experience 4+ years of professional software development experience, with significant hands-on backend development experience in Java Spring Boot or Node.js. Core Technology Stack Java Spring Boot OR Node.js | React/Next.js | PostgreSQL | Kafka | Redis | AWS | Docker | Kubernetes/EKS | GitHub Actions

Full Stack Developer Backend Heavy

Legend Holding Group Ltd•Dubai, AE
4+ Years Exp
Posted: 29/9/2026
Design, develop, and maintain scalable backend services and REST APIs.Build and maintain microservices using Java Spring Boot or Node.js.Design efficient database schemas, queries, indexes, and data-access layers.Develop event-driven systems using Kafka.Implement caching, asynchronous processing, and distributed workflows.Integrate third-party APIs and external services.Build frontend features using React.js / Next.js.Work closely with Product, QA, and DevOps teams.Write clean, maintainable, testable, and production-ready code.Participate in code reviews and maintain engineering standards.Troubleshoot production issues and perform root-cause analysis.Optimize applications for scalability, performance, and reliability.Contribute to CI/CD pipelines and cloud deployments. We are looking for a Backend-Heavy Full Stack Developer with 4+ years of experience building scalable, reliable, and production-grade applications. The candidate should have strong backend engineering expertise in either Java Spring Boot or Node.js, along with hands-on experience in React-based frontend development and modern cloud-native infrastructure.Mandatory Technical SkillsBackend — Primary RequirementStrong expertise in one of the following:Java TrackJava 8+Spring BootSpring MVCSpring Data JPA / HibernateREST APIsMicroservicesMaven/GradleJUnit / MockitoORNode.js TrackNode.jsTypeScript / JavaScriptNestJS / Express.jsREST APIsMicroservicesJestAsynchronous programmingDatabasesStrong SQL knowledgePostgreSQL / MySQLDatabase designQuery optimizationIndexing and transactionsMongoDB or other NoSQL databases is a plus.Kafka & Distributed SystemsHands-on experience with Apache KafkaProducers and consumersConsumer groups and partitioningEvent-driven architectureMessage processing and failure handlingUnderstanding of asynchronous and distributed systemsAWS — MandatoryHands-on experience with AWS services and cloud deployments.Expected knowledge of services such as:AWS EKSEC2RDSS3IAMCloudWatchECRVPC / networking fundamentalsDocker & & Kubernetes — MandatoryStrong understanding of DockerCreating and managing Docker imagesDockerfile optimizationContainerized application deploymentsKubernetes fundamentalsDeployments, Services, ConfigMaps, SecretsUnderstanding of pods, namespaces, health checks, and resource managementExperience deploying applications on AWS EKS is a strong requirement.CI/CD — MandatoryStrong hands-on experience with GitHub Actions.Strong understanding of DockerCreating and managing Docker imagesDockerfile optimizationContainerized application deploymentsKubernetes fundamentalsDeployments, Services, ConfigMaps, SecretsUnderstanding of pods, namespaces, health checks, and resource managementExperience deploying applications on AWS EKS is a strong requirement.CI/CD — MandatoryStrong hands-on experience with GitHub Actions.Building CI/CD pipelinesAutomated build and test workflowsDocker image build and pushDeployment automationEnvironment-specific configurationsAWS integrationBasic CI/CD security practicesFrontendFrontend experience is required but not the primary focus.React.js / Next.jsTypeScript / JavaScriptREST API integrationComponent-based developmentBasic frontend debuggingAngular is not required.Engineering FundamentalsStrong understanding of:Data Structures & AlgorithmsObject-Oriented ProgrammingSOLID principlesDesign PatternsREST API designMicroservices architectureDistributed systemsDatabase transactions and concurrencyAuthentication & AuthorizationSystem scalability and performanceUnit and integration testingLogging, monitoring, and observabilityGood to HaveAWS EKS production experienceKubernetes troubleshootingHelmRedisKafka-based distributed systemsTerraformAPI GatewayPrometheus / GrafanaDatadog or similar observability toolsExperience designing systems from scratchProduction ownership of high-traffic servicesIdeal Skill DistributionBackend Engineering: 65–70% Cloud / DevOps: 15–20% Frontend: 10–15%This is not a frontend-heavy Full Stack role. The candidate should be capable of independently designing and implementing backend services and understanding the infrastructure required to run them in production.Preferred CandidateA strong candidate should be able to take a requirement from:Requirement → Database Design → API Design → Backend Implementation → Kafka/Event Processing → Frontend Integration → Docker → CI/CD → Kubernetes/EKS → Production Monitoring and independently own the feature through to production.Experience 4+ years of professional software development experience, with significant hands-on backend development experience in Java Spring Boot or Node.js. Core Technology Stack Java Spring Boot OR Node.js | React/Next.js | PostgreSQL | Kafka | Redis | AWS | Docker | Kubernetes/EKS | GitHub Actions

Senior Technical DevOps Engineer - Container Platform - Emiratisation

طيران الإمارات - غير ذلك•Dubai, AE
5+ Years Exp
Posted: 28/9/2026
Job Purpose 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’. Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation, we're always at the forefront, pushing boundaries. We're on the lookout for exceptional IT professionals to fortify our position as leaders in the industry. Embark on a journey with the world’s largest international airline and become a vital part of our cutting-edge information and technology team as a Senior Technical DevOps Engineer - Container Platform - Emiratisation. The Senior Technical DevOps Engineer - Container Platform - Emiratisation will act as a key technologist in the DevOps and Automation team, drive DevOps and Automation practices at product and program level. Engineers enterprise level technology solutions for CI/CD and Cloud automation through infrastructure as code, containerisation and configure management. Ensure robust Cloud engineering and DevOps practices for solution planning, technology development, deployment, release, hyper-care and operations of technology solution. Apply Site reliability principles to ensure availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning and act as a bridge between development and operations by applying a engineering mind-set to system administration. In this role, you will: • Lead the discovery phase of Cloud adoption/ migration by partnering with the Architects and Security to strategize well defined DevOps and Cloud engineering architectures. • Lead the automation of change management, building resiliency, monitoring, capacity planning and emergency response for set of products that you are responsible for. • Act as a lead for service reliability, scalability and performance for a set of products as part of system enablement team for Agile release trains. Primary lead who identifies and improves the lifecycle of products/services by addressing flow of value through the continuous deployment pipelines. • Review deployment and operational environments, i.e., execute initiatives to reduce failure,troubleshoot issues across the entire infrastructure stack, expand monitoring capabilities, and manage technical operations. • Collaborate with Release Engineering, Product Development and Security teams to develop change management strategies e.g. canary-style deployments, pushing out new releases without interrupting services, and rolling back features that demonstrate problems. • Enable automation of everything possible and ensure continuous deployment pipeline is always in good health and is responsible for the technical design and high-quality coding for technology products with built in quality and production deployment ready. • Build, maintain and operate technical environments for software development, continuous integration and continuous deployment based on cloud application design principles such as 12 factor apps. • Embrace DevSecOps principles to advise and architect security solutions with engineering and product teams, ensuring all technologies and projects are robust and adhere to security standards. • Be an advisor to enable the teams to drive corrective, adaptive, preventative and perfective maintenance of solutions automating environment management, service management, infrastructure management and cyber security aspects of the systems. • Apply Site reliability principles to ensure availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning and act as a bridge between development and operations by applying an engineering mind-set to system administration. Qualification To be considered for this role, you must meet the below requirements: • Degree or Honours (12+3 or equivalent) in a relevant field such as Computer Science, Computational Mathematics, Computer, Engineering or Software Engineering. • 5+ years of experience in OpenShift, Kubernetes, EKS, AKS, Linux, Terraform, Ansible, CI/CD, GitOps, Helm, container security, and cloud technologies. Knowledge/Skills: • Strong hands-on experience with Kubernetes and container platforms. • Experience deploying, configuring, and managing Red Hat OpenShift, Amazon EKS, and Microsoft AKS. • Strong understanding of Kubernetes architecture, workloads, networking, storage, Services, Ingress, RBAC, ConfigMaps, Secrets, and namespaces. • Experience with Docker/OCI containers, container registries, Helm, and Kubernetes Operators. • Strong knowledge of Terraform and Infrastructure as Code (IaC) for automated platform provisioning. • Experience with Ansible, Bash and/or Python scripting for configuration and operational automation. • Hands-on experience with CI/CD and GitOps, using tools such as Git, GitLab, Jenkins, and Argo CD. • Knowledge of Kubernetes and cloud security, including RBAC, secrets management, vulnerability scanning, image security, and policy enforcement. • Experience with monitoring and observability tools, including Dynatrace and Splunk, with the ability to troubleshoot complex platform issues. • Understanding of platform reliability, scalability, performance, high availability, backup, disaster recovery, security, and compliance Leadership Role: No Salary & benefits Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. 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.

DevOps & Automation Engineer

F-Technologies LLC•Dubai, AE
5+ Years Exp
Posted: 28/9/2026
About F-Technologies: F-Technologies is a Dubai-based technology company designing and operating enterprise infrastructure, digital platforms, and technology products across the UAE and the Gulf. We hold ourselves to high engineering and design standards with an automation-first, security-first, quality-first mindset — and we're growing the team to match that ambition. About the Role: F-Technologies is looking for a DevOps & • Automation Engineer to own deployment automation, CI/CD pipelines, GitHub Enterprise, TFS/Azure DevOps Server, build agents, release governance, infrastructure automation, containerized deployment workflows, AI infrastructure, and developer platform reliability. This role is responsible for making deployments safer, faster, repeatable, secure, auditable, and reversible — and for proactively identifying and eliminating manual, error-prone processes before they cause incidents. The ideal candidate is hands-on with CI/CD, GitHub Enterprise, TFS/Azure DevOps, scripting, Docker, Kubernetes/OpenShift, infrastructure automation, GPU workloads, AI API gateway management, and secure deployment practices. Key Responsibilities: GitHub Enterprise, TFS & • Developer Platform Operations: • Administer and support GitHub Enterprise, TFS, Azure DevOps Server, or similar platforms. • Manage repositories, permissions, branch protection, pull request rules, code review policies, and audit logs. • Manage self-hosted runners, build agents, service connections, tokens, secrets, and deployment credentials. • Maintain developer platform availability, access governance, and operational documentation. CI/CD & • Release Automation: • Build, maintain, and improve CI/CD pipelines for VM-based and containerized applications. • Automate build, test, release, deployment, rollback, and environment setup processes. • Create deployment checklists, release gates, rollback plans, and approval processes. • Ensure all production deployments are auditable and traceable. Containerization & • Kubernetes/OpenShift: • Build and maintain CI/CD workflows for Docker and containerized deployments. • Automate container image build, scan, tag, push, deploy, and rollback. • Support Kubernetes/OpenShift deployments; use Helm or similar for repeatable deployments. • Troubleshoot CrashLoopBackOff, image pull errors, failed probes, ingress issues, secrets/config issues, and deployment failures. AI Infrastructure & • GPU Platform: • Own the deployment and operational management of GPU server infrastructure for AI workloads — driver management, CUDA/ROCm stack, GPU health monitoring, and resource scheduling. • Deploy and manage AI model serving infrastructure — vLLM, Triton Inference Server, Ollama, or similar — as containerized, monitored, and auditable workloads. • Own the AI API gateway — rate limiting, routing, authentication, quota enforcement, and cost tracking for LLM and model endpoints. • Manage vector database infrastructure (Qdrant, Weaviate, pgvector, or similar) and AI pipeline orchestration tools (Airflow, Prefect, or similar). • Automate GPU node provisioning, model deployment pipelines, and model version rollback. • Monitor AI workload performance — GPU utilization, inference latency, token throughput, and queue depth — and alert on degradation. • Coordinate with the Infrastructure Lead on GPU access governance, cost control, security posture, and capacity planning for AI workloads. Secure DevOps Governance: • Build secure CI/CD pipelines with automated checks, approvals, logging, and rollback. • Enforce branch protection, pull request rules, code review requirements, and release gates. • Secure pipeline secrets, tokens, service connections, deployment keys, and build agents. • Implement secret scanning, dependency scanning, and vulnerability checks where possible. Cross-Training & • Coverage: • Cross-train with the Systems & • Application Server Engineer to provide mutual coverage during absences — able to check VM health, verify backup job status, restart services, and escalate appropriately. • Cross-train with the Infrastructure Lead to support monitoring dashboards, incident triage, and DR runbook execution. • Ensure all pipelines, automation scripts, and deployment procedures are fully documented so any team member can cover without depending on tribal knowledge. Required Qualifications: • 5+ years in DevOps, release engineering, infrastructure automation, platform engineering, or systems automation. • Strong experience with CI/CD tools (GitHub Actions, Azure DevOps Pipelines, Jenkins, GitLab CI, or similar). • Experience administering/supporting GitHub Enterprise, TFS, Azure DevOps Server, or similar source control platforms. • Strong Docker and container deployment experience; building Docker images and managing containerized pipelines. • Practical experience with Kubernetes, OpenShift, Helm, or similar orchestration platforms. • Strong scripting using PowerShell plus Bash or Python. • Experience managing build agents, runners, secrets, service connections, and pipeline permissions. • Must be based in Dubai, UAE. Preferred Qualifications: • Terraform, Ansible, Packer, or similar IaC tools. • VMware, Hyper-V, Proxmox, OpenStack, Nutanix, or other virtualization platforms. • Security/dependency/secret scanning and DevSecOps practices. • OpenShift, Kubernetes operators, GitOps, ArgoCD, or Flux. • GPU infrastructure — NVIDIA drivers, CUDA, GPU node pools in Kubernetes, NVIDIA device plugin, or bare-metal GPU server management. • AI model serving — vLLM, Triton Inference Server, Ollama, or similar; experience deploying and scaling LLM or ML model endpoints. • AI API gateway — Kong, Traefik, or custom gateway solutions for LLM routing, quota management, and cost tracking. • Vector databases — Qdrant, Weaviate, Chroma, Milvus, or pgvector • AI pipeline tools — Airflow, Prefect, or similar. • Strong preference for candidates with experience in regulated, policy-driven environments — semi-government entities, banking, telecom, energy, healthcare, or defense — where secure deployment practices, auditable pipelines, formal change approval, and documented release governance are enforced as standard. Compensation: Competitive salary commensurate with experience — range shared during the screening call. How to Apply: Submit your application through this posting. Shortlisted candidates will be contacted for a screening call.