Senior Director Of Software Engineering at LinkedIn
Belmont, California, United States
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Summary
👤
Senior
🎓
Top School
Jingwei Wu is a senior engineering leader with 16+ years of experience building large-scale distributed systems, big data platforms, and machine learning infrastructure across LinkedIn, Twitter, Tinder and startups. Currently Senior Director of Software Engineering at LinkedIn, he leads globally distributed teams to drive job-matching, ingestion, trust/quality and recommendation systems that power marketplace growth. His background blends deep systems expertise—from Oracle Streams replication and DB optimizations to realtime stream processing (contributions to Apache Heron)—with hands-on programming in Scala, Java, Python and C. Jingwei has repeatedly modernized monolithic services into scalable, low-latency architectures and built core ML/feature-store and A/B experimentation platforms that accelerate product iteration. He pairs a PhD-level research foundation in software architecture and reverse engineering with a founder’s instinct for practical, product-focused engineering. Less obvious: he moves comfortably between low-level database internals and high-level marketplace optimization, making him effective at translating research-grade ideas into production at scale.
16 years of coding experience
23 years of employment as a software developer
M.Sc. Computer Science, M.Sc. Computer Science at University of Victoria
Computer Science and Engineering, Computer Science and Engineering at Harbin Institute of Technology
Ph.D. Computer Science, Ph.D. Computer Science at University of Waterloo
Apache Heron (Incubating) is a realtime, distributed, fault-tolerant stream processing engine from Twitter
Role in this project:
Back-end & DevOps Engineer
Contributions:156 commits in 3 months
Contributions summary:Jingwei primarily contributed to the Apache Heron command-line interface (CLI), modifying Python scripts and configuration files. Their work involved enhancing the CLI to support custom Aurora configurations and improved the deployment of topologies. Key changes include refactoring the CLI's command-line options, modifying the build rules, and integrating code changes to deploy and manage topologies. The user also made changes related to the system's configuration loading and uploader functionality, including integrating the copy command uploader to support uploading the topology packages to different file systems like AWS S3.
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Jingwei Wu - Senior Director Of Software Engineering at LinkedIn