Senior Azure DevOps Engineer - Remote / Telecommute

• Design, develop, maintain, and troubleshoot Jenkins CI/CD pipelines supporting Azure-based data engineering solutions.
• Automate build, test, deployment, configuration, and release processes across development, test, QA, and production environments.
• Support deployment/release processes for Azure data workloads, including Azure Data Factory, Azure Databricks, Azure Storage/Data Lake, and related services.
• Partner with Data Engineers to incorporate data pipelines, notebooks, scripts, configuration, and infrastructure changes into repeatable deployment processes.
• Manage Git branching, merging, pull requests, artifacts, and release processes.
• Build pipeline-as-code and reusable automation to reduce manual deployment activities.
• Troubleshoot failed builds, deployments, permissions, dependencies, credentials, and environment/configuration issues.
• Support Azure identity, secrets, service connections, and secure access required by automated pipelines.
• Implement deployment controls, approvals, logging, and traceability throughout the CI/CD lifecycle.
• Support production deployments, operational troubleshooting, incident resolution, and root-cause analysis.
• Maintain pipeline documentation, operational procedures, and support runbooks.
• Participate actively in Agile/Scrum ceremonies, including sprint planning, stand-ups, backlog refinement, estimation, demos, retrospectives, and continuous improvement.

• Strong hands-on Jenkins experience.
• CI/CD pipeline design, development, administration, and troubleshooting.
• Microsoft Azure experience.
• DevOps automation supporting data engineering workloads.
• Git and enterprise source-control practices.
• PowerShell, Bash, and/or Python scripting.
• Azure Data Factory and/or Azure Databricks deployment experience.
• Automated build, test, deployment, and release-management experience.
• Agile/Scrum delivery experience.
• Strong troubleshooting and root-cause-analysis skills.

Preferred Skills:

• Azure Databricks.
• Azure Data Factory (ADF).
• Microsoft Fabric.
• Azure Data Lake / Storage.
• Azure DevOps.
• Terraform / Infrastructure as Code.
• Docker and Kubernetes.
• YAML / JSON.
• SQL and ETL/ELT understanding.
• Monitoring/logging for CI/CD and Azure workloads.
• Jira or Azure Boards experience.