Summary
Zihan Jiang is a Staff Software Engineer based in California with a decade of experience building cloud-native and distributed systems. At Intuit he leads work on Kubernetes infrastructure, notably designing an ML-driven autoscaling recommendation system that balances short-term metrics with long-term seasonal trends. Previously he led release-engineering and CI/CD efforts at VMware Tanzu, creating a reproducible, secure build-and-publish pipeline for open source components. His background includes research-grade transaction services at Microsoft and performance-focused dataplane tooling at VMware, reflecting strong systems theory plus hands-on engineering. Comfortable spanning infrastructure, automation, and ML-for-ops, he brings a track record of turning complex platform requirements into productionized, developer-friendly tooling.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE Software Engineering, Bachelor of Engineering - BE Software Engineering at Sun Yat-sen University
Master of Science - MS Information Networking, Master of Science - MS Information Networking at Carnegie Mellon University