Open to opportunities

JACK LEE

@jacklee5

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Staff Software Engineer specializing in cloud-native, event-driven systems and AI integrations.

United States

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What I'm looking for

I seek roles where I can design scalable, cloud-native architectures, lead cross-functional teams, drive AI integrations, and improve delivery through observability and automation.

I am a Staff Software Engineer with 14+ years of experience delivering high-performance full-stack systems across healthcare and SaaS domains. I design event-driven microservices and cloud-native architectures using Java, Go, Python, and modern DevOps tooling.

At Amazon I architected cloud-native healthcare platforms, scaled systems to support 10x traffic, and improved throughput by 50% while reducing deployment downtime and defects through CI/CD and automated testing. I refactored monoliths into microservices, standardized API contracts, and optimized databases to markedly lower latency.

I have built AI-driven solutions integrating OpenAI APIs with vector databases to create intelligent virtual assistants that reduced call center load and improved user support. I also develop interactive front ends with React and Vue.js to improve clinician and administrator engagement.

I lead cross-functional Agile teams, introduce observability with OpenTelemetry and Grafana, and champion test automation and scalable architectures to accelerate delivery and improve reliability.

Experience

Work history, roles, and key accomplishments

Current

Staff Software Engineer

Current

Amazon

Jan 2020 - Present (5 years 8 months)

Architected cloud-native healthcare platforms and led migration to event-driven microservices, improving throughput by 50% and scaling systems to handle 10x traffic while reducing deployment downtime by 40%.

Java Go Python Kafka PostgreSQL OpenTelemetry React CI CD OpenAI API

Senior Software Engineer I

Apporto

Mar 2014 - Dec 2019 (5 years 9 months)

Re-architected a monolithic remote desktop system into microservices and built high-throughput backend and real-time streaming infrastructure, improving scalability and reducing infrastructure load while accelerating releases by 30%.