Jason Koch is a Senior Performance Engineer with 13 years of experience optimizing large-scale cloud and enterprise applications, currently performance engineering Netflix’s EC2 and container platforms. He has led global engineering teams and cost-optimization efforts—saving millions by right-sizing cloud workloads and migrating monolithic stacks to Kubernetes at scale. Jason blends deep backend concurrency and memory optimization expertise (contributions to Apache Druid and Performance Co-Pilot) with practical front-end and build-system improvements (work on Netflix/vector and semiotic). He’s delivered ultra-reliable systems for Fortune-tier clients and telco-grade 99.995% availability targets while managing teams of 20–70 engineers across continents. An active open-source contributor, he improves performance, readability, and build pipelines in well-known projects like Disruptor and Druid—bringing both hands-on coding and architectural leadership. Trained in computer science and telecommunications engineering with First Class Honours, he pairs rigorous academic foundations with operational, production-proven impact.
13 years of coding experience
12 years of employment as a software developer
Bachelor of Science (B.Sc.) & Bachelor of Engineering (B.Eng.), Computer Science & Telecommunications Engineering, First Class Honours, Bachelor of Science (B.Sc.) & Bachelor of Engineering (B.Eng.), Computer Science & Telecommunications Engineering, First Class Honours at Swinburne University of Technology
Vector is an on-host performance monitoring framework which exposes hand picked high resolution metrics to every engineer’s browser.
Role in this project:
Full-stack Developer
Contributions:1 release, 154 commits, 16 PRs in 1 year 5 months
Contributions summary:Jason removed dependencies like Bower and made code compliant with editorconfig. They were involved in refactoring build processes, which included updating JavaScript bundling and handling HTML templates. They made several code changes, modifying files related to the project's build configuration and injecting vendor and application scripts into index.html. These changes suggest a focus on improving build efficiency and maintainability.
Contributions:36 reviews, 25 commits, 9 PRs in 3 years 1 month
Contributions summary:Jason primarily focused on enhancing the stability and efficiency of the Performance Co-Pilot (PCP) system. Their contributions involve addressing memory management issues, ensuring thread safety within the codebase, and optimizing the interaction with external libraries. They also worked on improving the container monitoring capabilities of the system by modifying the code for Docker integration. These changes appear to have been aimed at refining the core performance aspects of PCP.
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Jason Koch - Senior Performance Engineer at Netflix