Senior DevOps Engineer, Overture Maps Foundation at Linux Foundation

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Feb, 26

Salary

175000.0

Posted On

15 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

DevOps, Data Engineering, CI/CD, Automation, Cloud Infrastructure, Monitoring, Alerting, Release Operations, Python, Scala, Airflow, Spark, GitHub, Data QA/QC, Spatial Libraries, Object Storage

Industry

Software Development

Description

Company Description The Linux Foundation is the organization of choice for the world's top developers and companies to build ecosystems that accelerate open technology development and commercial adoption. Together with the worldwide open source community, it is solving the hardest technology problems by creating the largest shared technology investment in history. Today, the Linux Foundation has over 2,000 corporate members from over 41 countries, including every single one the Fortune 100. The Linux Foundation has proudly created over $54B in shared technology value since inception. About Overture Maps Foundation: 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. Job Description 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. This role is ideal for someone who wants to build the foundation for reliable, scalable, and repeatable open data operations. You’ll be at the center of Overture’s technical ecosystem, ensuring pipelines run smoothly, automation is trusted, and releases happen seamlessly across environments. Key Responsibilities Pipeline Reliability 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. CI/CD and Automation 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. Infrastructure Management 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. Release Ops Support 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. Qualifications Required 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. Preferred Experience with LakeFS for feed version management. Familiarity with Sedona, Shapely, or other spatial libraries. Understanding of data QA/QC processes and release operations workflows. Additional Information Salary - $155,000 - $175,000 USD Location & Travel This position can be performed remotely, with occasional travel for key community events and foundation meetings (approximately 15-20% travel). What We Offer 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 Remote-friendly work environment with flexible scheduling and management-level autonomy Competitive executive compensation package with equity/performance incentives and comprehensive benefits The Linux Foundation is a largely all-remote workforce that hires top-notch talent. We are as passionate of providing a flexible and supportive work culture as we are in Open Source Software. Collaboration is in our DNA, and we pride ourselves on being able to work closely together while not being tied to an office. We offer exceptional benefits - e.g., Fantastic health care, Unlimited PTO, 100% 401k match, profit-sharing, and exceptional healthcare plans. The Linux Foundation is an Equal Opportunity Employer.

Responsibilities

The Senior DevOps Engineer will ensure the reliability, automation, and observability of open data pipelines. This role involves managing systems for large-scale geospatial data pipelines and designing CI/CD workflows.