DevOps Support Engineer

Abu Dhabi, United Arab Emirates

Full Time

Experienced

DevOps Support Engineer

Job Type: Full-time
Work Mode: Onsite (Candidates outside UAE must be willing to relocate)

Role Overview
The DevOps Support Engineer provides operational support for cloud infrastructure, CI/CD pipelines, container platforms, and AI workloads. The role focuses on maintaining platform stability, troubleshooting deployments, monitoring environments, and responding to infrastructure incidents.

Key Responsibilities

• Support cloud infrastructure including subscriptions, networking, and access control
• Monitor GPU clusters, container environments, and AI runtime systems
• Troubleshoot deployment failures across Sandbox, Staging, and Production environments
• Monitor CI/CD pipelines and resolve build or deployment issues
• Support version control workflows and release rollouts
• Monitor GPU utilization, memory usage, and AI inference performance
• Troubleshoot API gateway routing, throttling, and authentication issues
• Support integrations with enterprise platforms such as Microsoft 365, SharePoint, Teams, Oracle, and Jira
• Monitor system metrics including CPU, GPU, memory, storage, and logs
• Act as first responder for infrastructure and platform incidents (P0–P3)
• Perform incident triage and escalate complex issues to engineering teams
• Support Kubernetes clusters and Docker container environments
• Maintain infrastructure runbooks, troubleshooting guides, and RCA documentation

Required Skills

• Experience with cloud platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform
• Experience supporting container environments using Kubernetes and Docker
• Familiarity with CI/CD tools such as Azure DevOps, GitHub Actions, or Jenkins
• Experience with monitoring tools including Azure Monitor, Dynatrace, or Grafana
• Understanding of networking, IAM, API gateways, and infrastructure monitoring
• Familiarity with Infrastructure-as-Code tools such as Terraform

Experience

• 4–7 years of experience in DevOps, Cloud Operations, Platform Support, or SRE roles
• Experience supporting containerized or AI workloads preferred
• Experience working in regulated or government environments is a plus
• Arabic language skills are an advantage

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Which of the following is a best practice when managing multiple cloud environments (Sandbox → Staging → Production)?

A deployment pipeline fails in Production after a successful Staging run. What is the first step?

Which action is essential to maintain platform stability in Kubernetes environments?

While deploying an AI model on GPU nodes, you notice memory saturation errors. What should you do?

During a P1 incident affecting production AI workloads, your first action should be:

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