DevOps Engineer (Multi‑Cloud & Kubernetes) | CNS Middle East | Abu Dhabi, UAE
CNS Middle East · Abu Dhabi, United Arab Emirates ·
- Employment
- Full time
- Category
- Devops
- Experience
- 6+ years
- Salary
- AED 15,000 / month
CNS Middle East · Abu Dhabi, United Arab Emirates ·
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CNS Middle East is hiring a DevOps Engineer in Abu Dhabi to build and scale cloud-native platforms: designing CI/CD pipelines (Jenkins), managing Docker/Kubernetes workloads, automating multi-cloud infrastructure (AWS, Azure, GCP) with Terraform and Ansible, monitoring with Prometheus/Grafana, and scripting in Python, with some MLOps/AI work.
Job Title: DevOps Engineer (Multi-Cloud & Kubernetes) | CNS Middle East | Abu Dhabi, UAE
Recruiting Company: CNS Middle East
Job Location: Abu Dhabi, United Arab Emirates
Job Type: Full-Time
Additional Info: Salary up to 15,000 AED/month | Immediate or 2-4 weeks notice preferred
CNS Middle East is hiring an experienced DevOps Engineer to support and scale modern cloud-native platforms in Abu Dhabi. This role is critical to enabling reliable CI/CD pipelines, containerized workloads, and multi-cloud infrastructure for enterprise technology initiatives.
As a DevOps Engineer, you will work at the heart of cloud infrastructure and automation, supporting high-availability environments across AWS, Azure, and GCP. You will design, deploy, and maintain CI/CD pipelines, container orchestration platforms, and Infrastructure-as-Code solutions to ensure fast, secure, and reliable delivery. The role requires strong hands-on expertise with Kubernetes, Terraform, and modern monitoring stacks, as well as collaboration with development and platform teams. You will also contribute to advanced initiatives such as MLOps and AI integration. This is an excellent opportunity for seasoned DevOps professionals seeking impact and ownership in a cloud-driven enterprise environment.
To stand out, highlight real DevOps implementations you’ve delivered - such as Kubernetes platforms, multi-cloud CI/CD pipelines, or Terraform-based builds and quantify results like deployment speed improvements, uptime gains, or automation impact.