Gastón Kleiman is a seasoned software engineer with 15 years’ experience building and operating large-scale distributed systems, currently based in San Francisco and contributing at senior levels within Lyft and OpenAI. He brings deep backend and infrastructure expertise in Scala, Java, Ruby, Docker, Mesos, Kubernetes and cloud platforms (AWS and Google internals), with a strong grounding in OOP and system design. A long-time Apache Mesos committer and Mesosphere core engineer, he has practical experience shepherding container orchestration and scheduler projects to production. Gastón is also an active open-source contributor across projects like Mesos, Marathon, Chronos, ACE and Kubernetes-related tooling (KUDO), where he balances code hygiene, API migrations and controller logic improvements. He pairs systems-level thinking with full-stack fluency—having shipped frontend components in React and editor enhancements for Ace—so he comfortably spans tooling, platform and UX concerns. Notably, his contributions often focus on maintainability and observability improvements (logging, IDs for actors, metrics), reflecting attention to long-term operability beyond feature delivery.
Deploy and manage containers (including Docker) on top of Apache Mesos at scale.
Role in this project:
Back-end Developer
Contributions:11 releases, 375 commits, 343 PRs in 2 years 1 month
Contributions summary:Gastón contributed significantly to the core functionality of Marathon, a container orchestration platform for Apache Mesos. Their work involved enhancing the application's environment variable handling, specifically by exposing ports in the environment as `PORT_XX`. The user also implemented fixes for issues, improving the platform's ability to manage and deploy containerized applications on a scalable infrastructure. Furthermore, they streamlined the code by removing unused imports and optimized metrics name generation.
Contributions:169 commits, 5 PRs, 23 pushes in 2 years 11 months
Contributions summary:Gastón contributed to multiple areas of the Apache Mesos project, with a focus on enhancing core functionality and improving the build process. The user fixed typos in comments and documentation, added support for non-ASCII characters, and addressed issues in Docker daemon argument generation. They also made contributions to the Libprocess library, specifically adding IDs to actors for better logging and improved the handling of health check failures.
apachebig-datacloudmesosjava
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