Jigisha Patil is a software engineer with four years of experience focused on cloud-native infrastructure and platform automation, currently building at AWS after completing an MS in Computer Science at CU Boulder. She combines hands-on skills in Java, C++ and Python with practical expertise in Kubernetes, Docker, CI/CD and multi-cloud (AWS/Azure) operations, having contributed to projects like the widely used Karpenter AWS provider to improve autoscaling, CI and private-cluster tooling. Her background includes building cloud services and microservice REST APIs at Siemens and enabling EBS CSI on EKS Anywhere during an AWS internship, demonstrating a strong bridge between developer tooling and production infrastructure. Known for improving operational robustness—adding nodeclass status conditions and automating cluster toolchains—she brings a pragmatic automation-first mindset to reduce toil and improve reliability. Based in Boulder, she also has experience managing university-level systems and courses, reflecting an ability to communicate technical concepts to diverse audiences.
4 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering, Electronics and telecommunications, Bachelor of Engineering, Electronics and telecommunications at Pune Institute of Computer Technology
Kendriya Vidyalaya Sangathan
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Colorado Boulder
Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
Role in this project:
DevOps Engineer & Cloud Engineer
Contributions:171 reviews, 169 PRs, 72 pushes in 1 year 2 months
Contributions summary:Jigisha focused on infrastructure and toolchain updates within the repository. Their commits included changes to the toolchain, specifically the installation path for `cosign`. They also made modifications to the CI/CD scripts, particularly to configure and manage private cluster environments, indicating a strong focus on automation and cloud infrastructure setup. Furthermore, they added status conditions on the nodeclass, suggesting they were working on improving the health and readiness of the cloud resources managed by the system.
Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
Contributions:1 review, 237 PRs, 635 pushes in 1 year 2 months
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Jigisha Patil - Software Engineer at Amazon Web Services (AWS)