Keerthan Reddy
Software Engineer at Amazon Web Services (AWS)
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKeerthan Reddy is a cloud-native software engineer with 11 years of experience building and migrating container orchestration platforms, currently at AWS after a multi-year tenure at PayPal. He led re-architecting PayPal’s Genesis platform from Mesos to Kubernetes, developed Kubernetes CRD support and a custom CNI for software load balancers, and has hands-on DevOps experience with Docker, Kubernetes and Mesos. Earlier work at Deis and contributions to the upstream Kubernetes kubelet—improving resource reclamation, sandbox cleanup, and unit tests—reflect a strong open-source orientation and deep systems-level troubleshooting. He combines a solid academic foundation (NIT Warangal and a high-GPA MS from Stony Brook) with production-grade backend and database skills in Go, Python, Java and Oracle PL/SQL. Notably, he bridges product-facing feature development with low-level runtime reliability improvements that reduce operational toil.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Software Engineering, GPA : 8.19/10.0, Bachelor of Technology (B.Tech.), Computer Software Engineering, GPA : 8.19/10.0 at National Institute of Technology WarangalMaster's degree, Computer Science, GPA :3.96/4.0, Master's degree, Computer Science, GPA :3.96/4.0 at Stony Brook University
English, Hindi, Telugu
Github Skills (8)
kubernetes10
go10
containerization10
kubernetes-pods10
testing10
dockers9
docker9
cicd8
Programming languages (7)
Github contributions (5)
kubernetes/kubernetes
Mar 2020 - Jul 2020
Production-Grade Container Scheduling and Management
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:29 reviews, 10 commits, 16 PRs in 3 months
Contributions summary:Keerthan primarily focused on improving the kubelet's resource management and cleanup processes. Their contributions included adding unit tests, enhancing the logic for reclaiming pod resources, and integrating CRI runtime sandbox status checks to remove sandboxes efficiently. They also addressed the sandbox deletion process, ensuring proper resource cleanup after pod termination. Additionally, the user made changes to the fake runtime service to ensure correct behavior and improved unit tests.
containersschedulingdockergradeproduction-grade
kmala/charts
Mar 2016 - Nov 2016
Contributions:96 pushes, 30 branches in 8 months
chartspaashelmhelm-chartskubernetes
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