Summary
Gregory Guterman is a software engineer with a decade of experience building large-scale developer and platform infrastructure, currently at Google where he led a team delivering a flagship tool for a 200+ developer org and optimized CI for tens of thousands of workflows. He has a proven track record of cutting costs and cycle times—implementing a test-selection algorithm that caught 95% of regressions while reducing testing time and infra spend by ~40%, and shipping a monitoring service for Chrome’s 80,000+ CI workflows. Prior roles at PubNub and startups show full-stack and systems breadth: Golang services, K8s/Nomad, serverless, data migrations that saved $10k/month, and ML/visualization work that produced peer-reviewed research. Gregory blends hands-on implementation (often shipping solo or small-team projects in weeks) with people leadership and hiring experience, and has a background making interactive public-facing visualizations seen by large museum audiences. Based in California, he pairs research-minded problem solving with pragmatic production engineering at scale.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at University of California, Davis
Lowell High School
Russian, Spanish, Chinese, English