Simon Song is a Senior Software Engineer based in San Jose with nine years of experience architecting scalable, cost-efficient backend systems for high-throughput environments. At HeadSpin he modernized messaging and monitoring pipelines—migrating relational workloads to Kafka/Loki, extending retention from days to years, and cutting storage needs by automating archival to S3 Glacier—while boosting request performance with Redis caching and lightweight Go services. His background spans full-stack product work, crypto trading automation with asyncio and multithreading, and building malware-monitoring and replicated-data systems in a military context, reflecting strong systems, reliability, and security instincts. He combines pragmatic engineering (e.g., a reverse proxy handling ~1,000 HTTP/WS reqs/s and a message pipeline processing ~50M events/day) with cost-aware operations and a knack for simplifying edge deployments.
9 years of coding experience
7 years of employment as a software developer
The University of Arizona
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Konkuk University
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