DevOps Engineer - Azure

Michael Page; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A recruitment agency is looking for a DevOps Engineer to design and manage Azure-based infrastructure. The ideal candidate will have significant experience with Kubernetes, CI/CD pipelines, and collaborating with software teams to deliver AI-driven services. This role offers end-to-end ownership of a high-impact platform, allowing direct influence over architecture and tooling in a cutting-edge environment focused on AI/ML workloads.

Qualifications

• Significant experience as a DevOps, Platform, or SRE Engineer supporting large-scale, production systems.
• Deep hands-on expertise with Azure services, Kubernetes, and observability tooling for distributed systems.
• Proven track record building and maintaining CI/CD pipelines and automating infrastructure through code.
• Comfortable collaborating with software and algorithm teams on model-related or AI-driven services.

Responsibilities

• Design, build, and manage production infrastructure on Microsoft Azure with Kubernetes.
• Operate, monitor, and scale Kubernetes-based services while leading incident response.
• Partner with teams to deploy model-serving workloads in production.
• Build and refine CI/CD pipelines to enable fast, reliable releases.
• Champion infrastructure-as-code, DevOps best practices, and enhanced observability.

Skills

DevOps

Tools

Azure

Kubernetes

CI/CD pipelines

GitHub Actions

Azure DevOps

GitLab CI

Job description

Overview

You will design, operate, and secure Azure‑based, Kubernetes‑centric infrastructure that underpins real‑time, model‑driven services.

Client Details

This opportunity is with a large organisation in the financial services industry.

Description

Design, build, and manage production infrastructure on Microsoft Azure with Kubernetes as the core orchestration platform. Operate, monitor, and scale Kubernetes‑based services, leading incident response and reliability improvements. Partner with algorithm and application teams to deploy and run model‑serving and inference workloads in production. Build and refine CI/CD pipelines (e.g. GitHub Actions, Azure DevOps, GitLab CI) to enable fast, reliable releases. Champion infrastructure‑as‑code, DevOps best practices, and enhanced observability across the engineering stack.

Profile

• Significant experience as a DevOps, Platform, or SRE Engineer supporting large‑scale, production systems.
• Deep hands‑on expertise with Azure services, Kubernetes, and observability tooling for distributed systems.
• Proven track record building and maintaining CI/CD pipelines and automating infrastructure through code.
• Comfortable collaborating with software and algorithm teams on model‑related or AI‑driven services; LLM or GPU.

Job Offer

• End‑to‑end ownership of a high‑impact Azure/Kubernetes platform, with direct influence over architecture, tooling, and DevOps practices.
• Cutting‑edge exposure to AI/ML and potentially LLM and GPU‑based workloads, working closely with algorithm and product teams in real production environments.

Skills

Skills

Devops