Jiahui Feng
Member Of Technical Staff at OpenAI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJiahui Feng is a seasoned software engineer with 11 years of experience focused on cloud-native systems and Kubernetes, currently a Member of Technical Staff at OpenAI after a multi-year tenure at Google. He has deep hands-on expertise in Kubernetes core projects—kubectl, client-go, kube-openapi, kops and cloud-provider-gcp—contributing to API definitions, OpenAPI schema generation, leader election, and dependency automation that keep large-scale clusters stable and well-tested. Comfortable across back-end, DevOps, and infrastructure roles, he repeatedly ships tooling and automation to manage complex Go module and vendor ecosystems. Based in the Bay Area, he prioritizes long-term commitment to Kubernetes and system reliability, and prefers roles that match a competitive Google-level compensation and local living circumstances. A quieter detail: many of his contributions center on subtle but critical build, API, and enum/schema maintenance work that prevents breakage across the Kubernetes ecosystem.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Renmin University of ChinaMaster of Science - MS Software Engineering, Master of Science - MS Software Engineering at Carnegie Mellon University
English, Chinese, Japanese
Github Skills (41)
dependency-management10
kubernetes10
docker10
kops10
apidoc10
feature-toggle10
cloud-infrastructure10
dockers10
gcp10
automation10
code-generation10
go10
api10
cloud-platform10
api-server10
Programming languages (10)
Github contributions (5)
kubernetes/cloud-provider-gcp
May 2020 - Jan 2022
cloud-provider-gcp contains several projects used to run Kubernetes in Google Cloud
Role in this project:
Cloud Engineer / Infrastructure Engineer
Cloud Engineer / Infrastructure EngineerContributions:27 reviews, 7 commits, 6 PRs in 1 year 8 months
Contributions summary:Jiahui primarily focused on fixing configuration and build issues related to the Google Cloud Platform (GCP) cloud provider for Kubernetes. They addressed a shellcheck failure in a crucial configuration file and updated the vendor dependencies. The user also made code formatting changes. These changes suggest a focus on maintaining and ensuring the stability and correctness of the Kubernetes cloud provider for GCP.
cloud-providersgooglegoogle-cloud
kubernetes/kubernetes
Dec 2019 - Oct 2022
Production-Grade Container Scheduling and Management
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:539 reviews, 84 commits, 76 PRs in 2 years 10 months
Contributions summary:Jiahui primarily contributed to the Kubernetes core by addressing issues related to node lifecycle management, ensuring proper handling of shutdown nodes and provider ID checks. They also worked on improving the accuracy of ordered lists within CSI translation and implemented unit tests for topology-related functionalities. Furthermore, the user integrated leader migration configuration, which involved parsing and validation of the configuration file.
containersschedulingdockergradeproduction-grade
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