Senior Azure DevOps Engineer.

Senior Azure DevOps Engineer

Experience

8+ years(including 4+ years running production workloads on Microsoft Azure)

Job Type

Contract,Remote(C2C,only inhouse profiles; independent contractors)

Work Hours

2:00 pm to 11:00 pm IST (8-hour shift with a 1-hour break)

Duration

6 months (Extendable)

The Role

Own the path from commit to production, and the running of live systems afterward, for enterprise client programmes on Azure. Releases are controlled by the pipeline: build once, promote the same artefact through every environment, verify on the running system, and roll back automatically on failure. About 70% hands-on, 30% client engagement, mentoring and reporting.

What You'll Do

• Build and run Azure DevOps CI/CD with digest-based promotion, health-gated slot swaps and automatic rollback
• Operate live production systems to agreed service levels, including incidents, DR testing, patching and cost control
• Manage all infrastructure through Terraform with drift detection, Key Vault, managed identities and private networking
• Integrate automated test and security gates into pipelines
• Work directly with the client's engineers and directors in design reviews, change approvals and incident calls
• Use AI tools for pipelines, scripts and incident triage, with every output reviewed and tested
• Direct and review junior DevOps engineers

Must-Haves

• Azure production experience (App Service, Functions, Container Apps or AKS, VNets, Key Vault)
• Azure DevOps multi-stage YAML, environments, approvals and service connections
• Production Terraform
• Docker, PowerShell, Bash, Python or Node.js, Azure CLI
• CI/CD test gates and static or security scanning
• On-call, incident, problem and change management, with App Insights, Azure Monitor and KQL
• Client-facing experience and clear English
• Experience leading juniors and working independently
• BE/BTech in CS, IT or equivalent

Nice-to-Have

AZ-400, AZ-104, AZ-305, Terraform Associate, ITIL 4; Azure Policy; AKS, GitHub Actions or Bicep; AI/LLM workloads in production