Staff Software Engineer at Stellar Development Foundation
Salt Lake City, Utah, United States
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Summary
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Rockstar
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Top School
Rob Durst is a Staff Software Engineer with a decade of experience building reliable, production-grade systems across fintech, health tech, and blockchain. He blends deep systems and SRE expertise—shaping observability, performance, and platform reliability at Spring Health—with compiler research work at Brickell where he’s developing a Gleam-based toolchain for generating formal reliability artifacts. Rob has contributed to Stellar’s core testing infrastructure, improving fuzzing and simulation tools for one of the most important open decentralized payment networks. Comfortable moving between hands-on engineering, technical leadership, and community-building, he has led cross-team initiatives at DocuSign and organized large crypto engineering meetups in San Francisco. Equally entrepreneurial, he launched a small-batch coffee roastery and has shipped mobile and microservice products for startups and foundations. Based in Salt Lake City, he pairs a computer science and mathematics background with a persistent curiosity for distributed systems, formal tooling, and developer experience.
10 years of coding experience
5 years of employment as a software developer
* Attended Full Stack (MERN) bootcamp during Fall of 2017-2018 gap year., * Attended Full Stack (MERN) bootcamp during Fall of 2017-2018 gap year. at Horizons School of Technology
Bachelor of Arts (B.A.), Computer Science and Mathematics, Bachelor of Arts (B.A.), Computer Science and Mathematics at Colby College
High School, High School at Phillips Exeter Academy
Reference implementation for the peer-to-peer agent that manages the Stellar network.
Role in this project:
Back-end & Test Automation Engineer
Contributions:28 commits, 14 PRs, 71 comments in 2 months
Contributions summary:Rob's primary focus was on enhancing the testing infrastructure and improving the overall robustness of the Stellar Core project. They implemented and refined testing tools, including a loopback peer and simulation environment. Additionally, the user added functionality to the fuzzer, incorporating features like deterministic random byte generation and the ability to filter out invalid messages. These modifications were crucial for creating a more reliable and comprehensive testing framework for the project's core functionalities.
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