Jonathan Yu
San Francisco, California, United States
Summary
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RockstarJonathan Yu is a senior software engineer with 16 years of experience in backend, DevOps and security-focused engineering, based in San Francisco. He currently serves as Senior Software Engineer II, Security Services at HP IQ and has recently held similar roles at Humane and Lily AI. At Lily AI he led organization-wide observability and cost-reduction initiatives that cut cloud spend by over $300k/year while creating a golden path for monitoring, runbooks and on-call practices. An active contributor to notable open-source projects like Prefect—where he tightened validation, error handling and refactored setup—and to Coder—where he modernized dependencies, caching and CI—Jonathan blends Go, Python, Terraform, Kubernetes and TypeScript expertise. He has a track record of shrinking codebases and dramatically improving performance (for example a 44x improvement on a rebuilt IBM component) and favors measurable, practical outcomes. He excels at translating complex technical tradeoffs into pragmatic engineering and security improvements that boost reliability and developer velocity.
17 years of coding experience
Github Skills (28)
go-modules10
prefect10
python10
go-module10
workflow-engine10
terraform10
terraformer10
go10
orchestration10
orchestra10
devops10
testing9
data-set9
data-engineering9
dockerce9
Programming languages (21)
Github contributions (5)
PrefectHQ/prefect
Apr 2022 - Dec 2022
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:97 reviews, 64 commits, 78 PRs in 8 months
Contributions summary:Jonathan primarily focused on improving the codebase by implementing validation for names within the project, indicating a focus on code quality and robustness. They also addressed invalid characters within various components of the system, adding comprehensive error handling. Furthermore, the user contributed to the project's overall structure by removing redundant setup configurations and refactoring related code.
pythondataobservabilityml-opsdataflow
coder/coder
Jan 2022 - Feb 2022
Provision remote development environments via Terraform
Role in this project:Backend & DevOps Engineer
Backend & DevOps EngineerContributions:15 commits in 1 month
Contributions summary:Jonathan primarily contributed to the project through infrastructure and backend improvements. Their work includes upgrading dependencies like `go-chi`, `docker distribution`, and the `go mod tidy`. They also implemented caching headers for Next.js static assets, demonstrating a focus on performance. Furthermore, they added a linter, switched testing infrastructure, and improved coverage of the cryptorand package.
devcontainersremote-developmentdevopsvscodeide
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