DevOps Engineer

Dev Ops Engineer

Job Title

Dev Ops Engineer

Job Description Summary

Job Description

Job Description and Purpose We’re seeking a hands-on DevOps Engineer to build and standardize Azure DevOps automation for data/analytics delivery—primarily focused on Databricks, while also supporting deployments across other Azure components. You’ll 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 • 3–7+ 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 APIs o Terraform Databricks provider o 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).

 

 

 

INCO: “Cushman & Wakefield”

Experience Level

Senior Level