Senior DevOps Engineer, Linux Foundation

• This role is ideal for someone who wants to build the foundation for reliable, scalable, and repeatable open data operations
• 4+ years of experience in Data Engineering, DevOps, or related engineering operations roles
• Hands-on experience operating distributed pipelines built with Airflow, Spark, and Python or Scala
• Strong knowledge of GitHub workflows, CI/CD automation, and multi-environment deployments
• Familiarity with data platforms that use SparkSQL, Iceberg, Parquet, and object storage (S3 or Azure Blob)
• Solid understanding of monitoring, alerting, and release automation
• This position can be performed remotely, with occasional travel for key community events and foundation meetings (approximately 15-20% travel)

Desirable

• Overture Maps Foundation is the leading developer of open map data for mapping applicastions and spatial analytics. It is organized under the Linux Foundation
• Overture is dedicated to building a thriving community, accelerating the adoption of our data and GERS framework, and strengthening the ecosystem through engagement and collaboration
• As our foundation grows in technical complexity and readiness for community adoption, we require a strategic approach to community development and communications that ensures active member engagement and external awareness and adoption
• Overture Maps Foundation is seeking a Senior DevOps Engineer to ensure the reliability, automation, and observability of our open data pipelines
• You’ll manage the systems that keep large-scale geospatial data pipelines running smoothly across cloud environments, design and maintain CI/CD workflows in GitHub, and implement best practices for deployment and operational excellence
• This role bridges development and operations, supporting a common, platform-agnostic technology stack while maintaining flexibility for member contributions
• You’ll be at the center of Overture’s technical ecosystem, ensuring pipelines run smoothly, automation is trusted, and releases happen seamlessly across environments
• 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
• Opportunity to directly shape the strategic direction of open mapping data
• Work directly with leading organizations in the mapping and technology space as a strategic partner