Senior DevOps Engineer (m/f/d
Listed on 2026-08-10
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IT/Tech
Azure, Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Systems Engineer
About The Role
We are looking for a highly skilled Senior Dev Ops 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.
Senior Dev Ops EngineerLocation: Abu Dhabi, UAE
Experience: 8+ years
AboutThe Role
We are looking for a highly skilled Senior Dev Ops 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.
What You'll Do- Design, build, and maintain end-to-end CI/CD pipelines for complex microservices across Dev / Test / Staging / Prod, including build fan-out, parallel lanes, quality gates, and controlled release/promotion strategies.
- Own and evolve Azure infrastructure AKS, Azure Front Door, Application Gateway, APIM, ACR, Azure Dev Ops, and supporting services with a focus on reliability, security, and scalability.
- Implement Infrastructure as Code and Git Ops practices as the source of truth for environments and deployments.
- Embed security into the delivery lifecycle (Dev Sec Ops ): SAST, DAST, SCA, container image scanning, secret scanning, and policy-as-code.
- Drive observability: instrumentation, dashboards, alerting, distributed tracing, and fast diagnosis of production issues.
- Champion Fin Ops and cost-awareness monitor, allocate, and optimize cloud spend, and partner with engineering and finance stakeholders.
- Contribute to AI-augmented Dev Ops initiatives MCP server/tool integration and multi-agent assistants on Azure AI Foundry / Azure OpenAI.
- Troubleshoot production incidents, optimize for performance and cost, and continuously improve platform engineering practices.
Deep hands‑on experience with Azure Repos, Azure YAML Pipelines, Azure Artifacts, and Azure Test Plans, plus Azure Dev Ops REST APIs and extensions.
CI/CD & DeploymentEnd‑to‑end pipelines for complex applications across all environments;
Git Hub Actions; blue‑green and canary deployment strategies.
Production‑grade experience across the Azure ecosystem, including APIM, Azure Front Door, App gateway and CDN.
Containerization & OrchestrationDocker, Kubernetes (AKS), Helm, and Git Ops delivery with ArgoCD or Flux. Service mesh experience (Istio / Linkerd) a strong plus.
Infrastructure as CodeTerraform (Azure provider, remote state in Azure Storage, Azure Verified Modules), ARM templates, and Azure Resource Graph.
Dev Sec OpsSecurity integrated into CI/CD, with tools such as Sonar Qube, Hashi Corp Vault, and HP Fortify. Familiarity with SAST, DAST, SCA, container/image scanning, secret scanning, and policy-as-code.
Observability & MonitoringAzure 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.
Fin Ops & Cost OptimizationHands‑on experience implementing Fin Ops practices and tooling to monitor, allocate, and optimize cloud spend.
Automation & ScriptingPower Shell, Azure CLI, Azure Power Shell module, Python, and Bash.
Code Quality & Version ControlGit, Git Hub, Azure Repos, branching strategies (Git Flow, trunk‑based development), and pull request policies.
Architecture & CultureMicroservices and serverless architectures on Azure; strong grasp of Agile/Dev Ops culture, the Azure Well‑Architected Framework, and the Cloud Adoption Framework.
AI / MLOps (advantageous)Exposure to Azure AI Foundry, Azure Machine Learning, Azure OpenAI Service, and Azure AI Search — plus MCP server and MCP…
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