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Halian is seeking a Senior DevOps Engineer to design, build, and operate Azure-native environments at scale in Abu Dhabi. You will own end-to-end CI/CD, infrastructure, observability, security, and cost optimization across a modern microservices platform.
This hands-on role requires ownership of production systems, automation, and proactive improvements in security, scalability, and efficiency, with exposure to AI/ML enhancements in platform engineering.
Location: Abu Dhabi, UAE
Experience: 8+ years
We are looking for a highly skilled Senior DevOps Engineer to help design, build, and operate large-scale, production-grade Azure environments. You will work across the full delivery chain from CI/CD and infrastructure to observability, security, and cost on a modern, Azure-native, microservices-based platform.
This is a hands-on engineering role for someone who’s comfortable owning production systems end to end, automating everything that can be automated, and raising the bar on security, scalability, and cost efficiency across the team. Curiosity about applying AI/ML to platform engineering, multi-agent assistants, MCP-based integrations, Azure AI Foundry is a real plus.
Deep hands-on experience with Azure Repos, Azure YAML Pipelines, Azure Artifacts, and Azure Test Plans, plus Azure DevOps REST APIs and extensions.
End-to-end pipelines for complex applications across all environments; GitHub Actions; blue-green and canary deployment strategies.
Production-grade experience across the Azure ecosystem, including APIM, Azure Front Door, App gateway and CDN.
Docker, Kubernetes (AKS), Helm, and GitOps delivery with ArgoCD or Flux. Service mesh experience (Istio / Linkerd) a strong plus.
Terraform (Azure provider, remote state in Azure Storage, Azure Verified Modules), ARM templates, and Azure Resource Graph.
Security integrated into CI/CD, with tools such as SonarQube, HashiCorp Vault, and HP Fortify. Familiarity with SAST, DAST, SCA, container/image scanning, secret scanning, and policy-as-code.
Azure Monitor, Application Insights, Log Analytics, Kusto Query Language (KQL), and Azure Workbooks. Experience with Prometheus, Grafana, Dynatrace, or the Elastic/Kibana stack is a plus.
Hands-on experience implementing FinOps practices and tooling to monitor, allocate, and optimize cloud spend.
PowerShell, Azure CLI, Azure PowerShell module, Python, and Bash.
Git, GitHub, Azure Repos, branching strategies (GitFlow, trunk-based development), and pull request policies.
Microservices and serverless architectures on Azure; strong grasp of Agile/DevOps culture, the Azure Well-Architected Framework, and the Cloud Adoption Framework.
Exposure to Azure AI Foundry, Azure Machine Learning, Azure OpenAI Service, and Azure AI Search - plus MCP server and MCP tool integration experience.
You’ll join a strong platform engineering team operating a modern, Azure-native platform at real scale, with genuine ownership, autonomy, and room to shape both the infrastructure and the next generation of AI-augmented DevOps tooling. If you like solving hard production problems and building things properly, you will fit right in.