Sen Lu
Staff Software Engineer at Google
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSen Lu is a Staff Software Engineer with 13 years of hands-on experience building testing, qualification and developer tooling for cloud-native infrastructure, currently leading engineering excellence for Google Kubernetes Engine (GKE). He combines deep test-infra and DevOps expertise—maintaining Kubernetes test-infra and contributing to high-profile repos like ingress-gce—with backend and cloud engineering work on Google Compute Engine image tooling. As an emeritus SIG-testing approver and long-time OSS maintainer, he focuses on improving reliability and observability of CI/CD and qualification pipelines at scale. Based in Mountain View, he pairs production-grade automation with practical developer UX improvements, often surfacing subtle test stability and logging fixes that reduce flakiness. His background spans real-time visualization and game development to large-scale cloud systems, reflecting a pragmatic engineer who bridges low-level tooling and platform-level reliability.
13 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at University of MichiganBachelor of Science (BS), EECS, Bachelor of Science (BS), EECS at 上海交通大学
English, Chinese
Github Skills (20)
kubernetes10
github-ci10
google-cloud-platform10
docker10
testing10
ingress10
cloud-infrastructure10
dockers10
cicd10
gcp10
automation10
go10
kubernetes-pods10
g10
automations10
Programming languages (9)
Github contributions (5)
kubernetes/test-infra
Aug 2016 - Mar 2020
Test infrastructure for the Kubernetes project.
Role in this project:
DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:30 reviews, 1943 commits, 2218 PRs in 3 years 8 months
Contributions summary:Sen primarily contributed to the test infrastructure of the Kubernetes project by implementing and refining automation scripts and configurations. Their work included enhancing the janitor scenario with verbose logging and JUnit report generation. They also addressed timeout issues, improved GKE cluster management, and ensured the CI/CD pipeline functioned effectively by updating crier and plank configurations. Furthermore, the user made improvements on boskos logging, and also enabled autorepair and updated a few testing scripts.
kubernetesk8s-sig-testing
GoogleCloudPlatform/compute-image-tools
Feb 2019 - Jul 2021
Tools and scripts for Google Compute Engine images.
Role in this project:Back-end & Cloud Engineer
Back-end & Cloud EngineerContributions:10 commits, 14 PRs, 31 comments in 2 years 6 months
Contributions summary:Sen primarily focused on developing and maintaining tools and scripts related to Google Compute Engine image publishing. They refactored code, moving publish types into their own packages and modifying image naming conventions. The user also implemented features like ShieldedInstanceInitialState support and made expiry date calculations public. These changes indicate a focus on improving the image publishing workflow and its integration with Google Cloud infrastructure.
google-compute-engine
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