Jiangtian Li is a Staff Software Engineer based in San Francisco with nine years of experience building cloud-native and autonomous systems at companies from Cloudera to Argo AI and now Stack AV. He combines deep systems and DevOps skills—demonstrated by contributions to the high-profile Azure/acs-engine project—ensuring reliable Kubernetes and Windows container build and deployment pipelines. At Argo AI and Stack AV he has focused on production-grade engineering for complex distributed and safety-critical platforms, bridging research pedigree from a Ph.D. in Computer Science with hands-on delivery. Colleagues describe him as a pragmatic problem-solver who resolves thorny integration and deployment issues while adding tests and automation to prevent regressions. He brings an uncommon blend of academic rigor and operational craftsmanship, making him effective both as an individual contributor and a technical leader.
9 years of coding experience
5 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at North Carolina State University
WE HAVE MOVED: Please join us at Azure/aks-engine!
Role in this project:
DevOps Engineer
Contributions:73 commits, 91 PRs, 16 pushes in 1 year 3 months
Contributions summary:Jiangtian primarily focused on maintaining and improving the build and deployment processes within the `azure/acs-engine` repository. Their contributions included modifying build scripts to incorporate updates for Kubernetes and Windows builds, addressing issues related to Windows container deployment, and resolving merge conflicts. The user also added features for handling updates related to Windows packages, as well as added tests to validate these updates. Their work ensured continued support for various Kubernetes versions and Windows-based deployments.
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.