Jordan Stinson is a software engineer with 12 years of experience building cloud-native infrastructure, currently driving intelligent autoscaling and cluster efficiency on the Kubernetes Autoscaling team at Databricks. He focuses on Autopilot-style systems that leverage historical workload patterns to optimize CPU/memory allocation, VM instance selection, and cluster health for large-scale data and AI workloads. Past internships across Amazon, Splunk, and Citadel Securities reflect a strong foundation in high-throughput distributed systems, compiler-like service work, and data analytics dashboards. Jordan blends practical performance engineering with a curiosity for security and privacy, and has a track record of concrete efficiency wins (e.g., reducing API/network traffic and cutting re-renders). Based in San Francisco and educated at the University of Waterloo, he brings both production-grade rigor and a product-minded approach to making complex systems more reliable and cost-effective.
12 years of coding experience
2 years of employment as a software developer
Bachelor of Computer Science, Computer Science, Bachelor of Computer Science, Computer Science at University of Waterloo
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