Song Lu
Software Engineering Manager, Systems Infrastructure at LinkedIn
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolSong Lu is a seasoned software engineering manager based in San Jose with nine years of experience building and scaling distributed systems and infrastructure, currently leading the productivity team for Espresso at LinkedIn. He combines hands-on expertise in C/C++/Java, JVM performance, Linux kernel tweaks and large-scale data stores with proven management skills in team building, agile delivery and cross-functional product execution. At LinkedIn he drove mission-critical improvements such as routing state transitions and quota computation for complex queries, and earlier at Pinterest rewrote a campaign management system to achieve 10x performance gains. His background spans HPC, telecom and cloud security—work that includes MPI toolkits at IBM and authentication systems at VeriSign—giving him deep systems-level intuition. An active open-source contributor, he has fixed core reliability and scheduling bugs in the Light Task Scheduler project and works with technologies like RocketMQ, Kafka and ZooKeeper. Colleagues rely on him not just for architecture and performance tuning but for pragmatic, reliability-first fixes that surface from his low-level systems experience.
9 years of coding experience
20 years of employment as a software developer
Master of Science, Computer Engineering, Master of Science, Computer Engineering at Iowa State UniversityBachelor, Electronic Component and Material, Bachelor, Electronic Component and Material at Huazhong University of Science and Technology
Chinese, English
Github Skills (12)
javas10
scheduling10
scheduled-tasks10
debug10
sched10
task-scheduler10
job-scheduling10
java10
concurrency10
scheduler10
spring-boot10
remoting9
Programming languages (2)
Github contributions (5)
ltsopensource/light-task-scheduler
Jun 2017 - Sep 2017
Distributed Scheduled Job Framework
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits, 16 PRs, 8 comments in 2 months
Contributions summary:Song primarily focused on bug fixes and improvements within the LTS (Light Task Scheduler) framework. Their commits addressed issues related to the release of semaphores, ensuring proper resource management in asynchronous operations. Further contributions included resolving repeat job issues, such as incorrect repeated counts and timing, and also addressing pagination issues in the node group retrieval functionality, demonstrating the user's focus on core system behavior and reliability. The user also corrected issues with the cron expression.
ltsscheduled-jobspringbootspringjob
lusong1986/RocketMQExt
Jun 2016 - Sep 2017
Contributions:114 commits, 109 pushes, 4 branches in 1 year 3 months
onsalibabaaliyunrocket
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