James Jia
@jamesjia
Senior site reliability engineer focused on cloud reliability, cost optimization, and scalable platform operations for customer-facing products.
What I'm looking for
I’m a senior reliability and DevOps engineer who builds and operates high-availability platforms at scale. I focus on end-to-end reliability—capacity planning, progressive rollouts, automated monitoring, and incident recovery—so customer experiences stay fast and dependable.
At Google, I spearheaded reliability work for high-visibility smart home ecosystems and delivered major impact. I helped achieve 99.99% uptime for a streaming launch, automated monitoring and alerting for Gemini AI features, and executed staged, zero-disruption firmware rollouts across a device fleet.
I also optimized performance and resiliency during peak demand by sustaining uninterrupted 4K streaming and AI-powered recommendations. When the internet fails, I used edge capabilities to preserve smart home functionality, and I implemented self-healing automation to reduce manual operational burden and improve time-to-resolution.
Previously at Amazon, I owned asynchronous trial workflows and migrated trial approval/state management to event-driven architecture, cutting end-to-end setup latency by 60%+. I led fault-tolerant state machine designs with chaos engineering, improved availability and latency on critical paths, and drove infrastructure-as-code and automated testing that reduced hotfixes and monthly infrastructure costs.
Experience
Work history, roles, and key accomplishments
Spearheaded reliability, capacity planning, and progressive rollouts for Google TV Streamer and smart home ecosystems, cutting cloud costs 30% and halving service recovery times. Delivered 99.99% uptime for launch and automated monitoring/alerting and self-healing for Gemini AI features, enabling zero-disruption firmware rollouts at peak demand.
Owned Prime Wardrobe Prime trial core asynchronous workflows, designing scalable state machines for trial, deferred billing, and returns while collaborating across frontend, ML, and fulfillment teams. Led migration to event-driven state management, reducing setup latency by 60% and improving throughput ~40%, while maintaining 99.99% availability and sub-10ms p99 on critical paths.
Education
Degrees, certifications, and relevant coursework
Northwestern University
Master of Science (MS), Computer Engineering
Earned a Master of Science (MS) in Computer Engineering from Northwestern University in May 2015.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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