Dev Ops Engineer

Job description

Job Title Dev Ops Engineer Job Description Summary Job Description and PurposeWere seeking a hands-on DevOps Engineer to build and standardize Azure DevOps automation for data/analytics deliveryprimarily focused on Databricks, while also supporting deployments across other Azure components. Youll create repeatable CI/CD patterns, improve deployment reliability, and enable teams to ship changes safely across environments. KEY ACCOUNTABILITIES - Design, build, and maintain Azure DevOps CI/CD pipelines (YAML-first) for Databricks and Azure platform components. - Implement automated deployments for Databricks assets, including notebooks, repos, jobs/workflows, libraries, and configuration across dev/test/prod. - Develop reusable pipeline templates, shared task groups, and standardized golden path patterns for engineering teams. - Implement Infrastructure as Code (IaC) for Azure and Databricks resources (e.g., Terraform and/or Bicep/ARM), including environment promotion strategies. - Establish release practices: branching strategy, artifact/versioning, approvals, change control, and rollback/restore patterns. - Integrate secure authentication and secret management with Azure Key Vault, service connections, managed identities/service principals, and least-privilege RBAC. - Automate deployments/integration for related Azure services as needed (commonly including): ADLS Gen2, Key Vault, Azure Monitor/Log Analytics Azure Data Factory (if in use), Event Hubs/Service Bus Azure Functions/Logic Apps (where applicable) - Improve reliability through quality gates: automated tests, linting, policy checks, and deployment validations. - Implement monitoring/alerting for pipeline health and Databricks job outcomes using Azure Monitor, Log Analytics, and pipeline telemetry. - Produce clear documentation: runbooks, pipeline guides, onboarding material, and operational procedures. JOB REQUIREMENTS QUALIFICATIONS - 37+ years of experience in DevOps / Platform Engineering / SRE with strong delivery ownership. - Demonstrated expertise building Azure DevOps Pipelines (YAML), including multi-stage pipelines, variable groups, approvals, environments, and artifacts. - Experience automating deployments for Databricks using one or more of:o Databricks CLI and/or REST API or Terraform Databricks provider or Packaging/release patterns for notebooks/jobs/libraries - Strong knowledge of Azure fundamentals: networking, RBAC, Key Vault, storage, and monitoring. - Proficiency with scripting/automation (Python, PowerShell, Bash) and Git workflows. - Hands-on experience with IaC (Terraform preferred; Bicep/ARM acceptable).