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”