Michael Lee
@michaellee3
Staff Software Engineer delivering scalable cloud-native systems and AI automation.
What I'm looking for
I am a Staff Software Engineer with 15+ years building scalable backend systems and leading AI-powered automation for enterprise platforms. I combine deep database expertise with cloud-native architecture to deliver reliable, high-performance solutions.
At Oracle, I modernized applications with Oracle APEX and Next.js, engineered microservices on Autonomous Database and Spring Boot, and built ETL and vector-search pipelines that power semantic search and analytics. I drove performance improvements, adaptive indexing, and automated statistics gathering to significantly reduce slow queries.
Previously at Airbnb, I led the migration from a monolith to service-oriented architectures using gRPC and Kubernetes, introduced GraphQL for unified data access, and built predictive pricing and ML-driven personalization that increased revenue and conversion rates. Earlier roles focused on big data pipelines and multi-tenant cloud migrations for telecom operators.
I mentor engineers, lead cross-functional architecture efforts, and prioritize secure, compliant API designs. I seek to apply my blend of AI, database, and cloud engineering to build intelligent, maintainable systems that scale globally.
Experience
Work history, roles, and key accomplishments
Led development of cloud-native microservices and Oracle APEX web solutions on Autonomous Database, reducing deployment cycles by 45% and improving UI responsiveness by 30% for 5K+ users. Implemented ETL and vector-search powered analytics for fraud/compliance, cutting slow query incidents by 60%.
Led migration from monolith to SOA using gRPC and Kubernetes, reducing outages by 35% and increasing deployment frequency; built XGBoost-based pricing engine that increased host revenue retention by 15%.
Education
Degrees, certifications, and relevant coursework
University of Washington
Bachelor of Science, Computer Science
2005 - 2009
Completed a Bachelor of Science in Computer Science with coursework covering core algorithms, systems, and software engineering fundamentals.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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