Vincent Jiang is a Principal Software Engineering Manager based in Bellevue with over 15 years building and leading teams in distributed storage, search, and deep learning inference platforms across Microsoft and Confluent. He has deep expertise in large-scale systems and reliability engineering, from core contributions fixing stability and performance issues in the Apache Kafka codebase to designing object stores and index serving for Bing. Currently leading the Deep Learning Inference Service at Microsoft, he blends hands-on backend problem-solving with architectural vision for production ML services. His background in pattern recognition and automation from Zhejiang University complements a pragmatic focus on performance, test flakiness reduction, and clean shutdown semantics—details that signal a bias toward resilient, maintainable systems.
4 years of coding experience
19 years of employment as a software developer
Master's degree Pattern Recognition and Intelligent System, Master's degree Pattern Recognition and Intelligent System at Zhejiang University
Contributions:22 reviews, 6 commits, 9 PRs in 5 months
Contributions summary:Vincent primarily contributed to bug fixes and performance improvements within the Apache Kafka codebase. Their work involved addressing NullPointerExceptions in the `LogCleanerManager` and correcting issues related to clean shutdown detection in `LogManager`. They also resolved a problem with the TransactionStateManager when loading transaction metadata, as well as fixing flaky test cases. These contributions demonstrate a focus on ensuring the stability and reliability of Kafka's core components.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Vincent Jiang - Principal Software Eng Manager at Microsoft