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Tier-1 brand plus metro location, but specialized Azure DevOps skillset moderates candidate density.
Medium because Azure DevOps skills are transferable but require specific Azure data-platform experience.
High due to mandatory Azure platform, CI/CD, security, and infrastructure tooling requirements.
Own deployment and release management of Data Engineering, BI, and AI solutions across development, industrial, and production environments, ensuring readiness, verification, and rollback capability.
Build, optimize, and maintain CI/CD pipelines using GitLab and Azure DevOps with YAML for automated artifact build and deployment.
Operate and monitor Azure cloud services, perform root cause analysis on production incidents, enforce security compliance, and drive continuous improvement of DevOps processes and automation.
Strong hands-on experience with Microsoft Azure Services including ADF, Databricks, ADLS Gen2, AKS, Key Vault, Azure OpenAI, and monitoring tools like Azure Monitor, Log Analytics, Application Insights.
Proven CI/CD experience involving GitLab, YAML pipelines, and multi-environment release management with Git branching strategies such as GitFlow or trunk-based development.
Technical skills including Docker, Kubernetes fundamentals, Terraform, PowerShell, Bash, Python, Azure CLI, and cloud security tools like Key Vault, Managed Identity, Entra ID.
Work Experience Required: Not explicitly mentioned in the JD
Experienced with managing complex multi-environment release pipelines and cross-team coordination in Azure cloud ecosystems.
Proficient in scripting and automation with a strong focus on security and governance within cloud deployments.
Capable of troubleshooting production incidents thoroughly and driving operational excellence through continuous improvements in DevOps practices.