Hunter Lee
Software Engineering Manager at The Apache Software Foundation
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolHunter Lee is a Senior Software Engineering Manager in New York with a decade of experience building and operating large-scale distributed systems for real-time data and ML infrastructure. At LinkedIn he leads runtime and platform engineering for an 8k+ job fleet processing 12T+ messages/day, driving SLOs, observability, auto-scaling/automitigation, and an RCA/SRE AI agent stack using LangChain and major LLMs to accelerate incident response. He’s an Apache Helix committer and contributed REST APIs, metrics, and cluster-health tooling to improve scheduling and resource visibility, reflecting hands-on backend craftsmanship alongside team leadership. Hunter also has roots in batch data platforms, distributed scheduling, and warehouse optimization, and has grown teams from 0→5 while hiring and developing staff-level engineers. His background as a military desk sergeant and dual ECE/CS training at Duke bring operational rigor and systems thinking to high-stakes production environments.
10 years of coding experience
Bachelor of Science - BS Electrical and Computer Engineering & Computer Science, Bachelor of Science - BS Electrical and Computer Engineering & Computer Science at Duke UniversityHigh School Diploma, High School Diploma at Waterford School
Chinese, Korean, Japanese, English
Github Skills (9)
javas10
api-rest10
rest-api10
zookeeper10
api-design10
restful-api10
java10
testing10
metric9
Programming languages (1)
Github contributions (5)
apache/helix
Mar 2018 - Mar 2022
Mirror of Apache Helix
Role in this project:
Back-end Developer
Back-end DeveloperContributions:202 reviews, 273 commits, 373 PRs in 4 years
Contributions summary:Hunter implemented and tested a REST API for retrieving health status and created API for updating IdealState in the resource. These changes involved the addition of new methods to access and manipulate configurations. Additionally, the user refactored code and introduced metrics to monitor the behavior of the cluster, including the submission and scheduling times for jobs. They are heavily involved in development of internal APIs and metrics.
helixapachebig-datacloudjava
linkedin/zookeeper
Aug 2020 - Jan 2022
Mirror of Apache Hadoop ZooKeeper
Contributions:30 releases, 320 reviews, 56 commits in 1 year 4 months
zookeeperapachebig-datasparkhadoop
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