Open to opportunities

Micheal Lee

@micheallee

Message

Staff Software Engineer specializing in scalable backend systems, distributed architectures, and APIs.

United States

Message

What I'm looking for

I seek senior engineering roles where I can architect scalable backend systems, lead migrations, mentor teams, and integrate AI/ML into production within compliant, collaborative organizations.

I am a Staff Software Engineer with 15+ years designing scalable backend systems, distributed architectures, and API-first platforms at companies including Oracle, Airbnb, and TEOCO. I build high-performance microservices in Java, Python, Go, and Node.js, lead migrations from monoliths to service-oriented architectures, and integrate AI/ML capabilities into production to deliver measurable reliability and performance improvements.

I mentor engineering teams on best practices for microservices, observability, and API lifecycle management, and I collaborate with product, data science, and compliance teams to deliver secure, compliant systems at scale. My work includes architecting real-time ingestion services, modernizing internal tools for thousands of users, and driving hybrid cloud integrations that accelerate feature delivery and operational efficiency.

Experience

Work history, roles, and key accomplishments

Current

Staff Software Engineer

Current

Oracle Corporation

Dec 2019 - Present (5 years 9 months)

Architected high-concurrency Go microservices and integrated OCI/Exadata solutions to support real-time data ingestion and weekly analytics releases, reducing API response times by 25% and cutting manual workflows by 30%. Mentored teams and improved delivery efficiency by 20% while ensuring GDPR and SOC 2 compliance.

Go Java Python REST APIs GraphQL Microservices Kubernetes

Senior Software Engineer

Airbnb

Feb 2015 - Nov 2019 (4 years 9 months)

Led migration from monolith to SOA using gRPC, Kubernetes and Go, improving uptime by ~5–10% and enabling independent scaling; built Java/Node.js APIs and a Python XGBoost pricing engine that sped feature delivery by 15% and supported global rollout.

Go Java Node Python gRPC Kubernetes XGBoost Airflow Distributed Systems

Senior Software Engineer

TEOCO

Aug 2009 - Jan 2015 (5 years 5 months)

Engineered Java and Python data processing pipelines on Hadoop to process ~5B call records daily, reducing batch times by ~20% and improving onboarding speed through migration toward a multi-tenant cloud architecture.