Brian Mcqueen is a seasoned DevOps engineer with seven years of experience building sane, automated infrastructure for production systems, predating the popularization of the term. Based in Sunnyvale, he focuses on automation, CI/CD, deployment processes, monitoring and analytics, favoring tools like Ansible, Docker, and Sensu while adopting newer service-discovery primitives such as consul/etcd. He has a strong systems-programming background shown by contributions to high-profile open-source projects like fluent-bit and the goavro library, where he implemented robust Avro support and efficient encoding/decoding for Kafka integrations. Brian also improved Jenkins pipeline testing for Kubernetes agents, bridging developer workflows and runtime orchestration. With an M.S. in Atmospheric Physics and a B.S. in Physics, he brings a quantitative, investigative approach to engineering problems and builds custom tooling when off-the-shelf solutions fall short.
7 years of coding experience
California Polytechnic State University, San Luis Obispo
M. S., Atmospheric Physics, M. S., Atmospheric Physics at University of Nevada, Reno
Contributions summary:Brian primarily contributed to the project by enhancing the testing framework for Jenkins pipelines. They made several code changes focused on improving the handling of kubernetes agents, including adding options for configuration and integrating with workspace volumes. Additionally, they modified the testing infrastructure to incorporate features like the `skipStagesAfterUnstable` option and implemented a test to enable the Kubernetes agent functionality.
Goavro is a library that encodes and decodes Avro data.
Role in this project:
Back-end Developer
Contributions:5 releases, 23 commits, 21 PRs in 1 year 1 month
Contributions summary:Brian primarily contributed to the `goavro` library, focused on enhancing the handling of Avro data. They added support for standard JSON encoding and decoding with full two-way functionality. Further contributions include fixing bugs related to name validation and correcting a compile error within the logical type tests. They also implemented changes to support the efficient encoding and decoding of union types, a core aspect of Avro.
avrogolang
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.