Devops Engineer
CNTXT AIJob Description
DevOps Engineer Location: Onsite AbuDhabi, UAE Employment Type: Full-Time Department: EngineeringAbout CNTXT CNTXT 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 Role We'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 Infrastructure - Design, 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 & Automation - Build 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 Reliability - Maintain 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 & Compliance - Implement 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 & Kubernetes - Build 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. Collaboration - Partner 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 For - Bachelor'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 Have - Experience 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 Stack - AWS, 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.
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