Summary
Jonathan Kula is an Infra Engineer and Stanford CS master's student with 12 years of hands-on experience building and operating large-scale systems from internships to production roles. He currently designs cross-system primitives at OpenAI—everything from vector storage tenanting at billion-tenant scale to actor identity propagation and service discovery—while driving developer productivity and on-call improvements. Prior work at Rockset involved designing cold storage, observability, and orchestration enhancements across polyglot stacks (Go, Java, C++, Python, TypeScript), reflecting deep systems and infrastructure chops. He also has a strong teaching background at Stanford, applying pedagogy to simplify complex systems for peers and students. Curious about the intersection of systems engineering and education, Jonathan brings a research-minded approach to production problems and a track record of shipping secure, scalable infrastructure.
13 years of coding experience
1 year of employment as a software developer
High School, International Baccalauriate Program, 4.0+, High School, International Baccalauriate Program, 4.0+ at Claremont High School
Master's degree, Computer Science, Master's degree, Computer Science at Stanford University