DevOps Engineer

DevOps EngineerLocation: Onsite AbuDhabi, UAE Employment Type: Full-Time Department: Engineering About CNTXTCNTXT is building AI-powered products that redefine how people interact with technology. We bring together world-class engineers, product thinkers, and designers to build intelligent, scalable, and reliable platforms that power next-generation digital experiences. We're looking for exceptional builders who thrive in fast-paced environments, take ownership, and enjoy solving complex infrastructure and automation challenges. About the RoleWe're looking for a highly skilled DevOps Engineer to design, build, and maintain the cloud infrastructure, deployment pipelines, and operational tooling that powers our products. You'll work closely with software engineers, AI/ML teams, security, and product teams to ensure our platforms are scalable, secure, highly available, and fully automated. You'll play a key role in improving developer productivity, accelerating releases, and maintaining world-class reliability across our environments. This role is ideal for someone who enjoys automation, infrastructure as code, cloud-native technologies, and building reliable systems at scale. What You'll DoCloud InfrastructureDesign, build, and manage highly available cloud infrastructure. Architect scalable environments across development, staging, and production. Manage networking, storage, compute resources, and cloud security. Optimize cloud performance, scalability, and operational costs. CI/CD & AutomationBuild and maintain robust CI/CD pipelines for automated testing, deployment, and release management. Automate infrastructure provisioning using Infrastructure as Code (IaC). Improve deployment reliability through automated rollback, validation, and release strategies. Continuously improve developer workflows and deployment speed. Platform ReliabilityMaintain high availability and system reliability across all production environments. Implement monitoring, alerting, logging, and observability solutions. Troubleshoot production incidents and perform root cause analysis. Participate in incident response and postmortem reviews. Security & ComplianceImplement DevSecOps best practices throughout the software development lifecycle. Manage secrets, identity, access control, and infrastructure security. Ensure infrastructure follows industry security standards and best practices. Conduct vulnerability remediation and infrastructure hardening. Containerization & KubernetesBuild and manage containerized applications using Docker. Deploy, manage, and scale Kubernetes clusters. Optimize workloads for performance, resilience, and cost efficiency. Manage ingress, service mesh, storage, and cluster operations. CollaborationPartner with Engineering, AI/ML, Product, and Security teams. Support developers with infrastructure, deployments, and operational tooling. Document infrastructure architecture and operational processes. Drive continuous improvements across platform engineering and operations. What We're Looking ForBachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience. 4+ years of DevOps, Platform Engineering, or Site Reliability Engineering experience. Strong experience with public cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure. Hands-on experience building and maintaining CI/CD pipelines. Strong experience with Infrastructure as Code using Terraform, CloudFormation, or similar tools. Experience with Kubernetes in production environments. Strong understanding of Linux system administration and networking fundamentals. Experience implementing monitoring, logging, and observability platforms. Knowledge of cloud security, IAM, networking, and infrastructure best practices. Strong scripting skills using Python, Bash, or similar languages. Excellent troubleshooting and problem-solving skills. Experience working within Agile engineering teams. Nice to HaveExperience supporting AI/ML infrastructure and GPU workloads. Experience with MLOps platforms and model deployment pipelines. Knowledge of GitOps workflows using ArgoCD or Flux. Experience with service mesh technologies such as Istio or Linkerd. Familiarity with serverless architectures. Experience with multi-cloud or hybrid cloud environments. Understanding of distributed systems and microservices architecture. Cloud certifications (AWS, Azure, or GCP) are a plus. Technical StackAWS, Google Cloud Platform (GCP), or Microsoft Azure Kubernetes Docker Terraform GitHub Actions, GitLab CI, Jenkins, or Azure DevOps Linux Python, Bash, or Go Helm Prometheus & Grafana ELK Stack, OpenSearch, or Loki ArgoCD or Flux Git NGINX, Traefik, or HAProxy Why Join CNTXT?Build and operate infrastructure powering cutting-edge AI products. Work with a world-class, globally distributed engineering team. Own critical platform infrastructure with significant autonomy and impact. Solve complex scalability, automation, and reliability challenges.