Staff Software Engineer, Monitoring Infrastructure at LinkedIn
San Diego, California, United States
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Summary
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Senior
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Top School
Austin Ouyang is a Staff Software Engineer based in San Diego with 11 years of experience building observability and data platforms, currently focused on monitoring infrastructure for LinkedIn’s search systems. He blends SRE, data engineering, and analytics expertise to deliver high‑observability tooling—everything from time‑series cross‑correlation and minute‑granularity feedback loops to log analysis and migration strategies for unified streaming. A co‑founder of the Matrix Profile Foundation, he champions open-source time‑series algorithms and applies that research mindset to production reliability problems. His background spans RF systems and biomedical imaging research, giving him uncommon depth in signal processing and experimental validation that informs how he reasons about metrics and anomalies. Colleagues rely on him to translate complex telemetry into actionable capacity planning and cost‑aware decisions while keeping developer experience and scalability front and center.
11 years of coding experience
10 years of employment as a software developer
University of Illinois Urbana-Champaign
Technical University of Denmark
Master's Degree, Biomedical Engineering, Master's Degree, Biomedical Engineering at The University of Texas Southwestern Medical Center at Dallas
Contributions:30 releases, 123 PRs, 179 pushes in 1 year 7 months
time-series-forecastingforecastingtime-series
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