DevOps Engineer

• Maintain and monitor production data pipelines to ensure consistent, on-time runs.
• Troubleshoot and resolve operational issues across development, staging, and production environments.
• Implement logging, alerting, and metrics for end-to-end observability.
• Manage pipeline configurations, scheduling, and environment consistency.
• Design and manage CI/CD workflows in GitHub for building, testing, and deploying pipeline components.
• Enforce consistent branching, testing, and release practices across repositories.
• Automate build, test, and deployment workflows for both code and data releases.
• Support versioning and reproducibility for datasets and schema changes.
• Ensure pipelines and supporting systems are deployable across both AWS and Azure environments.
• Coordinate with CloudOps to manage cloud infrastructure for pipeline execution, following Overture’s platform-agnostic guidance.
• Maintain reproducible environments and ensure secure, efficient use of compute and storage resources.
• Work across Engineering Operations to schedule and optimize compute resources, ensuring cost efficiency, security, and scalability of cloud-based data systems.
• Implement infrastructure and operational automation to reduce manual intervention.
• Support Release Operations by integrating QA/QC validation into CI/CD processes.
• Partner with ReleaseOps to validate release candidates and monitor data QA/QC jobs.
• Automate post-release tasks such as metadata updates or data viewer refreshes.
• Maintain operational runbooks and documentation for release reliability and repeatability.

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DevOps Engineer