DevOps Engineer Location: Onsite AbuDhabi, UAE
Employment Type: Full-Time
Department: Engineering
About 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.
CNTXT AI