Ergin Seyfe
Engineering Manager - Dev Infra at Meta
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolErgin Seyfe is an engineering leader with 10+ years building large-scale infrastructure and data platforms, currently managing Dev Infra at Meta from Menlo Park. He has a track record of scaling compute and scheduling systems—growing teams, running tens of millions of jobs, and improving reliability by an order of magnitude. Earlier hands‑on roles include scaling Apache Spark for company-wide analytics and inventing a high-performance shuffle service (patent filed), plus significant back-end contributions to the upstream Spark project. Ergin combines deep distributed-systems engineering with people leadership, having grown teams rapidly while owning core infrastructure reliability and performance. His background spans enterprise and cloud services at Box and Microsoft, and research-driven signal processing early in his career, reflecting breadth from low-level optimizations to organizational scaling. Colleagues describe him as a pragmatic operator who still dives into code to fix critical performance and concurrency issues.
10 years of coding experience
14 years of employment as a software developer
B.S., Computer Engineering, B.S., Computer Engineering at Middle East Technical University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
javas10
spark10
performance-optimization10
back-end-development10
java10
scala10
sql9
big-data9
data-structures8
data-structure8
Programming languages (2)
Github contributions (5)
apache/spark
Apr 2016 - Dec 2016
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 PRs, 46 comments in 7 months
Contributions summary:Ergin primarily contributed to performance improvements and bug fixes within the Apache Spark codebase. Their work included refactoring the OrcOutputWriter and related serialization logic, optimizing code to remove redundant calculations, and fixing a concurrency issue in the BlockStatusesAccumulator. Additionally, they addressed serialization issues in the KeyValueGroupedDataset and included enhancements to improve the web UI. The user also added the VoidObjectInspector.
apache-sparkpythonscalarjava
seyfe/spark
Apr 2016 - Feb 2017
Contributions:45 pushes, 25 branches in 10 months
apachebig-datasparkscalaapache-spark
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