Courtney Wang is a Principal SRE based in San Francisco with a decade of experience building reliable, scalable systems and shipping automation across large-scale web services. She progressed from backend roles and embedded systems at Nest Labs to staff engineering and leadership at Reddit, where she now focuses on observability, distributed tracing, and SRE practices. Her open-source contributions include enhancing Reddit’s baseplate.py framework with Zipkin-compatible tracing, sampling controls, and span-processing refinements—work that improves end-to-end distributed tracing in production services. Trained in both computer science and applied mathematics at UC Berkeley, she brings algorithmic rigor to practical infrastructure problems and a track record of mentoring and technical teaching earlier in her career.
10 years of coding experience
11 years of employment as a software developer
B.A. Computer Science B.A. Applied Mathematics Computer Science Applied Mathematics, B.A. Computer Science B.A. Applied Mathematics Computer Science Applied Mathematics at University of California, Berkeley
Contributions:4 releases, 33 commits, 37 PRs in 2 years 8 months
Contributions summary:Courtney primarily focused on enhancing the `baseplate.py` Python service framework. Their contributions included adding a Zipkin-compatible tracing observer module, enabling distributed tracing capabilities, and implementing annotations and binary annotations. They further refactored the tracing configuration to include options for span processing, like queue size and number of workers. Several commits also included the addition of sampling and flag handling for trace spans.
Contributions:109 pushes, 27 branches, 5 tags in 3 years
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