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@jacklee3
Experienced Staff Software Engineer specializing in cloud-native architectures.
With over 14 years of experience as a Staff Software Engineer, I have a proven track record of delivering high-performance, full-stack systems in the healthcare and SaaS domains. My expertise lies in designing event-driven microservices and cloud-native architectures using a variety of programming languages, including Java, Go, and Python. I am passionate about optimizing system scalability and building intelligent AI integrations that enhance user experience and operational efficiency.
At CVS Health, I architected and led the development of cloud-native healthcare platforms, achieving a 50% improvement in throughput and scaling systems to support 10x user traffic. My efforts in refactoring legacy monoliths into event-driven microservices have significantly increased modularity and scalability. I also take pride in my ability to drive Agile practices, contributing to faster feature delivery and fewer post-release issues, all while maintaining a focus on quality through automated testing strategies.
Previously, at Apporto, I re-architected a monolithic remote desktop delivery system into modular microservices, enhancing scalability and reducing infrastructure load. My work in designing real-time video streaming infrastructure and optimizing backend services has been instrumental in delivering low-latency experiences to users globally. I am committed to continuous learning and improvement, always seeking innovative solutions to complex challenges.
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Work history, roles, and key accomplishments
CVS Health
Jan 2020 - Present (5 years 10 months)
Architected and led development of cloud-native healthcare platforms using Java, Go and Python, improving throughput by 50% and scaling systems to support 10x user traffic. Refactored legacy monoliths into event-driven microservices using Kafka, significantly increasing system modularity and horizontal scalability.
Apporto
Mar 2014 - Present (11 years 8 months)
Re-architected a monolithic remote desktop delivery system into modular Java, Python, Go and Node.js microservices, increasing scalability and reducing infrastructure load. Engineered high-throughput backend services using Spring Boot, Express and Go, optimized for remote desktop session management and user provisioning.
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