Devops Engineer

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 Do Cloud 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.