Jye Lee
Senior Cloud Platform Engineer, Kubernetes
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJye Lee is a Senior Cloud Platform Engineer based in San Francisco with 10 years of experience designing and operating production Kubernetes platforms at scale. He has led cloud migrations and platform engineering work at NVIDIA and Zendesk, building self-healing clusters, Argo/Spinnaker-driven CI/CD, Datadog alerting, and Terraform-backed observability practices. Skilled in Golang, Ruby, automated testing, and database/ETCD operations, he has driven test coverage from 0% to over 90% and automated complex recovery and remediation workflows. An active contributor to open-source deployment tooling (notably enhancements to zendesk/samson for Kubernetes and container image scanning), he blends strong QA discipline with infrastructure automation to reduce operational toil. His background in electrical and electronics engineering gives him a systems-level perspective that informs resilient platform design.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS), Electrical and Electronics Engineering, Bachelor of Science (BS), Electrical and Electronics Engineering at University of California, Davis
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
kubernetes10
docker10
dockers10
kubernetes-pods10
cicd9
gcp9
continuous-delivery9
continuous-deployment9
cd9
yaml8
Programming languages (7)
Github contributions (5)
zendesk/samson
Sep 2018 - Aug 2021
Web interface for deployments, with plugin architecture and kubernetes support
Role in this project:
DevOps Engineer & Kubernetes Specialist
DevOps Engineer & Kubernetes SpecialistContributions:45 reviews, 61 commits, 39 PRs in 2 years 10 months
Contributions summary:Jye primarily focused on improving the deployment and management of applications within a Kubernetes environment. They addressed issues related to pod management, including deleting undeletable pods and handling resource limitations. Furthermore, the user implemented features such as redeploying previous successful deploys on failure, and added capabilities for scanning container images for vulnerabilities using Google Cloud Container Registry (GCR). The user made contributions to improve Docker builds, and added the option to copy secrets between deploy groups.
continuous-deploymentplugin-architectureweb-interfacedeploymentdocker
cloudpassage/audit_servers_without_halo
Jan 2017 - Jun 2017
Contributions:10 commits, 2 PRs, 19 pushes in 4 months
haloregionsinstalledaws-regionschecks
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