Jianyu Wang
Senior Member Of Technical Staff at Oracle
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolJianyu Wang is a Senior Member of Technical Staff in Seattle with nine years of experience building distributed systems, cloud-native scheduling, and performance-critical services using Java, C++, and Python. He has driven production features at Oracle and Amazon—designing a distributed rate limiter for real-time bidding—and contributed to Koordinator, an open-source QoS-based scheduler, where he focused on test coverage, refactoring, and runtime hook protocol improvements. With a strong foundation in algorithms, data structures, networking, and OOP from USC and earlier research in 3D graphics, he blends systems-level rigor with practical DevOps sensibilities. Jianyu’s work often centers on improving reliability and maintainability in scheduler and orchestration codepaths, reflecting a preference for durable, well-tested infrastructure over quick fixes.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Southern CaliforniaBachelor of Engineering - BE Computer Software Engineering, Bachelor of Engineering - BE Computer Software Engineering at Dalian University of TechnologyUniversity of California, Irvine
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
testing10
scheduling10
kubernetes10
go10
kubernetes-pods10
cloud-native9
dockers7
docker7
cicd6
Programming languages (4)
Github contributions (5)
koordinator-sh/koordinator
Jul 2022 - Nov 2022
A QoS-based scheduling system brings optimal layout and status to workloads such as microservices, web services, big data jobs, AI jobs, etc.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:6 releases, 139 reviews, 19 commits in 4 months
Contributions summary:Jianyu primarily contributed to the Koordinator project by adding unit tests, optimizing existing tests, and adapting the code for different scheduling protocols, indicating a strong focus on ensuring code quality, reliability, and adaptability. The user's contributions also include refactoring and exporting key components of the scheduler and implementing changes to the runtime hooks protocols, likely to improve usability and maintainability. These commits reveal a skill set focused on developing and maintaining the core components of the system.
colocationcost-optimizationschedulingorchestrationworkloads
ZiMengSheng/koordinator
Jul 2022 - Mar 2025
QoS based scheduling system for hybrid orchestration workloads on Kubernetes, bringing workloads the best layout and status.
Contributions:323 pushes, 153 branches in 2 years 8 months
schedulingorchestrationworkloadslayoutscheduler
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