Nan Jiang

Set reliability strategy and architectural direction for Google Search Multimodal and AI Mode. Lead cross-functional initiatives to scale production AI serving infrastructure and drive improvements in robustness, availability, and production readiness.

Owned reliability and scalability for Multimodal and AI Mode search, engineering production systems for large-scale AI-powered Search. Improved resilience through reliability architecture, capacity planning, observability, and operational automation.

Embedded SRE tech lead for user-facing, revenue-critical services including PayPal Braintree, focusing on availability, scalability, latency, and operational efficiency. Led incident response and blameless postmortems, drove production fixes and automation, and mentored engineers on reliability design and observability.

Tech lead embedded with PayPal and Venmo Cryptocurrency products, advising on reliability from system design through production operations. Designed and built an Operations as Code platform with Python, Terraform, GitHub, and Jenkins, and improved observability with Splunk DSP and SignalFx.

Built tooling, monitors, and alerts for highly distributed services running on Docker, Python, Django, Celery, MySQL, Redis, RabbitMQ, and GraphQL. Worked with service and product teams to optimize release and rollback processes and define cloud and container best practices.

Operated PayPal's 24x7 production environment from the Command Center, coordinating critical escalations across SRE, Release Management, and partner teams. Made risk-based decisions during incidents and developed Python automation and shared operational libraries.

Master of Science in Computer Science from the University of Southern California, completed in 2016.

Activities and societies: National Scholarship, Ministry of Education, P.R. China

Bachelor of Engineering in Computer Science from Beijing Normal University, Zhuhai. Recipient of the National Scholarship from the Ministry of Education, P.R. China.