Stephen Arthur
Staff Software Engineer at Coinbase
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolStephen Arthur is a Staff Software Engineer in San Francisco with 11 years of experience specializing in scalability, cost optimization, and production observability for large web platforms. He has led compute and reliability initiatives at Yelp—building automated container rightsizers, hierarchical cost categorization, and cross-datacenter performance improvements—and now applies that expertise at Coinbase. Comfortable balancing reliability, performance, and cost tradeoffs, he combines hands-on systems work (networking, load testing, image processing) with product-minded platform leadership and FinOps practices. His open-source contributions include QA and test automation for Pillow’s JPEG handling and operational improvements to Yelp’s PaaSTA tooling, reflecting a pragmatic focus on correctness and deployability. Known for turning broad performance analysis into concrete architectural changes, he also has a track record of translating engineering metrics into executive-facing financial forecasting and vendor strategy.
11 years of coding experience
9 years of employment as a software developer
B.S., Computer and Information Science, B.S., Computer and Information Science at The Ohio State University
Github Skills (19)
kubernetes10
python10
image-processing10
image10
testing10
pi10
automation10
jpeg10
kubernetes-pods10
automations10
paas10
cross-platform9
dockers9
cicd9
docker9
Programming languages (10)
Github contributions (5)
Yelp/paasta
Jul 2017 - Dec 2020
An open, distributed platform as a service
Role in this project:
DevOps Engineer
DevOps EngineerContributions:2 reviews, 20 commits, 11 PRs in 3 years 5 months
Contributions summary:Stephen primarily contributed to improving and automating the PaaSTA platform's deployment and operational aspects. Their commits focused on enhancing the right-sizing script, improving the ticket description for resource recommendations, and integrating with the review board system. Additionally, the user implemented detailed logging for the service autoscaler to provide more insights into the platform's operational behavior.
mesosdockerplatform-as-a-servicedistributed-systemsmicroservices
python-pillow/Pillow
Apr 2016 - May 2016
Python Imaging Library (Fork)
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 commits, 2 PRs, 1 comment in 1 month
Contributions summary:Stephen primarily focused on testing and improving the JPEG image processing functionality within the Pillow library. Their contributions involved adding new test cases to cover edge cases with custom quantization tables and fixing issues related to incorrect data types and overflow when handling these tables. The user also contributed code to ensure roundtrip fidelity and correct behavior when saving and loading JPEG images, as well as making minor code adjustments to resolve compiler-related issues.
imagepythonimagingpython-3image-processing
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