Jinxiao Song is a Senior Software Engineer based in the San Francisco Bay Area with a decade of experience building high-throughput, production-grade systems for enterprise and consumer platforms. He holds a BS in Computer Science and Economics from UC Santa Cruz and a Master’s in Computer Science from UC Davis with a 4.0 GPA, blending quantitative rigor with practical engineering. His recent roles include driving API gateway and streaming solutions at Workday and now contributing to large-scale services at TikTok, routinely handling thousands of requests per second. Jinxiao’s background spans performance optimization, low-latency Java and Akka Stream systems, and a history of reducing operational risk—work that earned multiple internal awards at Workday. He is also an author on OpenStack high-availability topics, reflecting a deep interest in cloud and big data architecture beyond day-to-day product engineering. Equally comfortable debugging legacy systems as innovating on distributed services, he brings both customer-focused urgency and academic discipline to complex infrastructure problems.
10 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of California, Davis
Deploy OpenStack HA Cluster automatically based on the two books "Openstack Cluster HA:Deployment and Operation" and "Openstack Cluster HA:Architecture and Principles"
Contributions:17 commits, 1 PR, 15 pushes in 2 years 6 months
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