Jiangjie Qin
Principal Staff Software Engineer at The Apache Software Foundation
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolJiangjie Qin is a Principal Staff Software Engineer based in the San Francisco Bay Area with 11 years of experience building and hardening large-scale distributed systems. He combines hands-on backend engineering with technical leadership at LinkedIn and prior senior roles at Alibaba, focusing on reliability, performance, and maintainability. An active Apache PMC committer for both Kafka and Flink, he has contributed critical bug fixes and performance improvements to core projects—work that includes resolving memory leaks, improving partition/log handling, and hardening Kafka connectors used widely in streaming systems. His contributions show deep expertise in stream processing internals and production-grade resource management, not just feature work. Jiangjie also brings systems-level operational experience from IBM data-center leadership and a strong academic foundation with an MS from Carnegie Mellon. He is known for pragmatic, cooperative problem-solving that improves long-term stability and developer experience.
11 years of coding experience
9 years of employment as a software developer
Master of Science (M.S.) Information Networking, Master of Science (M.S.) Information Networking at Carnegie Mellon UniversityBachelor of Engineering (B.E.) Electrical and Electronics Engineering, Bachelor of Engineering (B.E.) Electrical and Electronics Engineering at Shanghai Jiao Tong University
Github Skills (20)
debug10
messaging-system10
apache-flink10
testing10
kafka10
java10
scala10
javas10
performance-optimization10
cluster-manager10
connectors10
cluster-api10
logging10
apache-kafka10
clustering10
Programming languages (5)
Github contributions (5)
apache/kafka
Aug 2014 - Feb 2018
Mirror of Apache Kafka
Role in this project:
Back-end Developer
Back-end DeveloperContributions:96 commits, 89 PRs, 9 pushes in 3 years 6 months
Contributions summary:Jiangjie contributed extensively to Apache Kafka, focusing on bug fixes and performance improvements within the core codebase. Their work involved resolving memory leaks related to client closures, addressing issues in MirrorMaker regarding message key handling, and making critical modifications to partition management and log handling. The user also implemented time-based indexing and addressed other performance-related issues impacting areas such as log rolling and consumer lag, demonstrating a deep understanding of Kafka's internal workings.
apache-kafkakafka-consumerapachescalakafka
apache/flink
Jun 2019 - Apr 2022
Apache Flink
Role in this project:Backend Developer
Backend DeveloperContributions:131 reviews, 124 commits, 120 PRs in 2 years 10 months
Contributions summary:Jiangjie's commits focused on improving the Apache Flink Kafka connector. Their work involved bug fixes and enhancements related to ensuring proper closure of Kafka producers to prevent resource leaks, particularly within the Kafka 0.11 connector. The user also addressed race conditions during checkpointing and transaction commit, and expanded the test coverage for improved stability. These changes resulted in a more robust and reliable Kafka connector for Flink streaming applications.
pythonflinkconnectorsqlapache
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