Spencer Gilbert
Software Engineer II at Datadog
Washington, District of Columbia, United States
Summary
🤩
Rockstar🎓
Top SchoolSpencer Gilbert is a platform and release engineer with 11 years of experience building and operating large-scale infrastructure, currently focused on Platform work at Mux after several impactful years at Datadog. He specializes in release pipeline automation, software supply chain security, and developer tooling, with deep, hands-on expertise in the Datadog Agent ecosystem and moving legacy tooling from Python/Bash to Go. Spencer has driven measurable improvements—shrinking Agent release cadence from ~6 to ~4 weeks, drastically reducing access to release infrastructure for stronger security, and owning public artifact tooling that supports millions of deployments. He’s also an active contributor to observability tooling (notably work on the Vector project’s deployment artifacts and OpenTelemetry integration), combining backend and DevOps skills to improve deployment stability and logging. Based in Washington, D.C., he gravitates toward the unglamorous but critical systems work that keeps hundreds of engineers shipping reliably.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS), Actuarial Science, Bachelor of Science (BS), Actuarial Science at Appalachian State University
Github Skills (9)
kubernetes10
observability10
rust10
kubernetes-pods10
devops9
back-end-development9
logging9
error-handling8
aws8
Programming languages (23)
Github contributions (5)
vectordotdev/vector
Sep 2020 - Jan 2023
A high-performance observability data pipeline.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:4012 reviews, 359 commits, 1014 PRs in 2 years 4 months
Contributions summary:Spencer primarily contributed to the back-end aspects of the project by updating log levels for various transforms and improving internal event logging. Their work also included modifications to the AWS CloudWatch Logs sink, fixing healthchecks and addressing issues related to dynamic log group creation, demonstrating an understanding of deployment and logging infrastructure. Furthermore, the user made adjustments to the Kubernetes-related components, replacing errors with appropriate messages and adding supporting functionality. The user's contributions indicate a focus on improving the observability and deployment stability of the system.
stream-processingeventspipelinerustdata-observability
spencergilbert/asdf-protolint
Apr 2022 - Feb 2023
protolint plugin for asdf version manager
Contributions:26 commits, 27 PRs, 29 pushes in 10 months
protolintprotobufasdf-pluginasdf-vmasdf
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