Open to opportunities

James Wang

@jameswang2

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Staff software engineer specializing in full‑stack, cloud, and AI/ML systems.

United States

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What I'm looking for

I seek senior engineering roles where I can lead full‑stack and cloud projects, integrate AI/ML, mentor teams, and drive scalable, observable systems in collaborative, product-focused environments.

I am a staff software engineer with 12 years of experience building scalable web applications across startups and high-growth technology companies. I focus on full-stack development, cloud infrastructure, and integrating AI/ML into production systems.

At Gusto I led cross-functional projects spanning payroll, benefits, and dashboard systems, drove the launch of Gusto Wallet, and improved tax calculation efficiency by 25% while reducing processing errors by 15%.

I designed an AI-powered payroll analysis pipeline and integrated OpenAI APIs to build internal AI assistants, improving operational accuracy and team productivity. I also architect and maintain high-throughput microservices using Go, Java, Kubernetes, and AWS.

I mentor engineers, champion developer experience and observability, and deliver performant frontend experiences with TypeScript and React. I prioritize clean architecture, strong collaboration, and measurable improvements in system reliability and developer onboarding.

Experience

Work history, roles, and key accomplishments

Current

Staff Software Engineer

Current

Gusto

Mar 2019 - Present (6 years 7 months)

Led full-stack development across payroll, benefits, and dashboard products; launched Gusto Wallet and improved tax calculation efficiency by 25% while reducing processing errors by 15%. Built AI-powered payroll analysis and internal AI assistant, reducing payroll corrections by 10% and onboarding time by 20%.

TypeScript React Go Kubernetes AWS PostgreSQL Kafka D3.Js

Senior Software Engineer

Amazon

Jun 2013 - Feb 2019 (5 years 8 months)

Developed scalable microservices and recommendation interfaces, achieving 99.99% uptime and supporting 500K+ daily requests; improved backend response times by 30% and accelerated release cycles by 30% via CI/CD automation.