Kevin Ingelman is a seasoned engineer with 11+ years designing and operating production distributed systems, currently based in San Francisco. He led Buoyant’s cloud team and served as a super-maintainer for Linkerd, contributing substantial Go backend and DevOps work to the widely-used Linkerd service mesh and its example apps. His expertise spans Kubernetes, gRPC, GraphQL, CI/CD, container security, and observability stacks—building pipelines that include vulnerability scanning and cluster health monitoring across customer environments. Prior roles at Twitter and Microsoft show deep experience modernizing legacy platforms, reducing infrastructure cost, and delivering high-throughput backend services. Notably, he combines hands-on systems programming with practical deployment engineering—implementing features from API error handling and path stats to TLS and tracing integrations.
10 years of coding experience
19 years of employment as a software developer
BS Computer Science Economics, BS Computer Science Economics at University of Richmond
Contributions:44 commits, 74 PRs, 108 pushes in 2 years 3 months
Contributions summary:Kevin contributed to the development and configuration of example applications for the `linkerd` service mesh, primarily focused on Kubernetes deployments. Their work included setting up and configuring services, such as hello world examples, with both HTTP and gRPC protocols. The user also implemented a failure accrual demo project and updated the repository to use newer versions of dependencies, demonstrating expertise in both backend service development and DevOps practices. Furthermore, they prepared the repository for a move to the linkerd organization.
Old repo for Linkerd 1.x. See the linkerd2 repo for Linkerd 2.x.
Role in this project:
Backend Developer
Contributions:1 release, 95 commits, 122 PRs in 2 years 1 month
Contributions summary:Kevin primarily focused on configuring and maintaining the build process of the Linkerd 1.x codebase, as seen by modifying sbt configuration files. They also made changes to project dependencies and added code for tracing and the handling of request IDs within the HTTP protocol, which suggests work on core service functionality. Furthermore, the user contributed to improvements in error handling, particularly within the Kubernetes integration, and added tooling for Zipkin tracing.
2-xkuberneteslinkerdservice-discoverylinkerd2
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