Lead DevOps Engineer

Location: Dubai
Salary: Competitive (Tax Free) + Benefits

About

We are seeking an experienced Lead DevOps Engineer from either healthcare or highly regulated industries to define and oversee platform engineering practices for a premier data and technology organization. This role sets the standards for secure and scalable automated environments supporting data, AI, and application workloads across the enterprise.

Role Overview

As a Lead DevOps Engineer, you will design and operate Kubernetes and OpenShift clusters mainly in on-prem environments and some hybrid environments. You will own the cluster lifecycle, including upgrades, storage integration, and production troubleshooting to ensure engineering teams can deliver quickly.

You will lead a team of 3/4 engineers while enforcing DevOps standards across CI/CD and Infrastructure as Code. You will be responsible for building observability frameworks and partnering with security teams to embed identity and network guardrails.

This role requires strong hands-on experience operating Linux-based systems and Kubernetes/OpenShift clusters in on-prem and hybrid environments, including ownership of cluster lifecycle, upgrades, storage integration, and production troubleshooting.

Responsibilities

• Strong hands-on experience operating Linux-based systems and Kubernetes/OpenShift clusters in on-prem and hybrid environments
• Champion DevOps principles within an enterprise hybrid architecture involving Azure cloud and on-prem storage solutions
• Standardize CI/CD frameworks using Azure DevOps and GitHub Actions
• Ensure Infrastructure as Code practices such as Terraform and Ansible are applied consistently
• Implement guardrails for container orchestration platforms including scaling and networking
• Establish observability standards for metrics and logs across all workloads
• Define operational SLOs and SLAs for platform services to ensure peak performance
• Oversee the creation of runbooks and automated remediation processes
• Partner with DataOps and AI teams to provide secure environments for model training and deployment
• Optimize infrastructure utilization to maintain a balance between cost and performance

Requirements

• 10+ years in engineering or DevOps roles with at least 5 years leading platform teams
• Deep expertise in CI/CD automation and container orchestration
• Advanced proficiency in Azure DevOps, GitHub Actions, Terraform, and Ansible
• Strong hands-on knowledge of Kubernetes and OpenShift cluster management
• Familiarity with observability stacks like Prometheus and Grafana
• Bachelor’s or Master’s degree in Computer Science or a related engineering field
• Understanding of hybrid infrastructure and data governance frameworks
• Exceptional communication and leadership skills with a focus on developing others