Summary
Evan Sheng is a cloud-native software engineer with a decade of experience and a strong track record building and optimizing Kubernetes-based infrastructure for large-scale consumer platforms. He has driven major infrastructure transformations at Airbnb—raising cluster utilization by ~30%, cutting service latencies by up to 80%, and reducing Kubernetes spend by over 15%—and continued to focus on Kubernetes runtime and autoscaling at Databricks and Anthropic. Evan specializes in multi-instance-type clusters, dynamic ladder scaling, spot strategies, and GitOps-powered mass refactors that shrink deployment time from weeks to minutes. He combines hands-on systems engineering with platform thinking, owning both capacity planning for high-traffic launches and developer productivity improvements like OneTouch. Based in San Francisco and Berkeley-educated, he brings a mix of production-first rigor and automation-oriented innovation that often surfaces as pragmatic cost and latency wins. An interesting detail: he’s repeatedly delivered platform features that convert lengthy operational work into self-service workflows across thousands of repositories.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Arts (B.A.) Computer Science, Bachelor of Arts (B.A.) Computer Science at University of California, Berkeley
English, conversational mandarin