Summary
Surbhi Shah is a software engineer with 11 years of experience building secure, scalable infrastructure and authentication systems at leading tech companies in the Bay Area. Currently at Stripe, she brings deep security and cloud-native expertise honed at Lyft, where she redesigned identity providers to carry authorization data, led Kubernetes migrations, and prevented dozens of hard-coded credentials via static analysis automation across thousands of repos. Her background includes practical product security work at Salesforce and security tooling and training experience from Microsoft and Carnegie Mellon, reflecting a strong blend of research-backed and production-grade security engineering. She mentors new engineers, has interviewed extensively, and champions secure coding and SDLC practices across teams. Based in San Francisco, Surbhi combines hands-on systems work with a track record of improving developer workflows and reducing organizational risk. An engineer who moves seamlessly between identity, static analysis, and cloud deployments, she often focuses on making security invisible and usable for everyday developers.
11 years of coding experience
5 years of employment as a software developer
High School, High School at Shri Gujarati Samaj A.M.N. English Medium School, Indore, India
Bachelor of Engineering (B.E.), Computer Engineering, 8.88, Bachelor of Engineering (B.E.), Computer Engineering, 8.88 at Shri Govindram Seksaria Institute of Technology & Science, 23,Park Road, Indore
Master's degree, Computer and Information Systems Security/Information Assurance, Master's degree, Computer and Information Systems Security/Information Assurance at Carnegie Mellon University
Hindi, Kutchi, English, Gujarati