Shiyuan Zhang
Senior Software Engineer at Affirm
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolShiyuan Zhang is a Senior Software Engineer in New York with 11 years of experience building cloud-native infrastructure, data platforms, and AIML-ready systems. Currently at Affirm after multi-year roles at Google (Search Ads) and AWS (DynamoDB), he brings deep distributed-systems and production-infrastructure expertise to platform engineering. His background spans both software and quantitative domains—earlier roles in quantitative research and derivatives hedging give him a strong analytical bent for reliability and performance tuning. An active contributor to core open-source projects, he enhanced etcd’s health probes, metrics, and corruption checks to improve Kubernetes compatibility and system robustness. Colloquially comfortable in Go, systems testing, and observability, he combines hands-on implementation with rigorous testing practices to harden critical services.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Bachelor of Science - BS at Fudan UniversityMaster of Science - MS, Master of Science - MS at Columbia Engineering
chinese / mandarin, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (18)
kubernetes10
testing10
distributed-systems10
etcd10
go10
kubernetes-pods10
apidoc9
databases9
api9
database9
performance-tuning8
performance-analysis8
prometheus8
performance-measurement8
cicd8
Programming languages (3)
Github contributions (5)
etcd-io/etcd
Jul 2023 - Apr 2025
Distributed reliable key-value store for the most critical data of a distributed system
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:323 reviews, 71 PRs, 548 comments in 1 year 8 months
Contributions summary:Shiyuan primarily contributed to the etcd server's health check endpoints, adding livez and readyz probes to ensure Kubernetes API compliance. They implemented metric counters for the health checks, and added checks for data corruption and linearizable reads to enhance the reliability of the service. Furthermore, the user added testing around these health checks, and incorporated new test cases for robustness, demonstrating an understanding of the codebase and testing methodologies. These changes involved Go programming and interacting with the etcd server's internal API and testing infrastructure.
etcdcriticalconsensusdistributed-systemreliable
siyuanfoundation/kubernetes
Sep 2023 - Apr 2025
Production-Grade Container Scheduling and Management
Contributions:5 reviews, 4 PRs, 635 pushes in 1 year 7 months
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