Navin Jammula
Staff Software Engineer at Intuit
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolNavin Jammula is a Staff Software Engineer specializing in cloud infrastructure who brings over 20 years of experience building and scaling developer platforms and cloud-native systems. Based in the San Francisco Bay Area, he has deep expertise in AWS, Kubernetes (EKS), custom controllers, autoscaling, and reliability engineering, and has led high-impact modernization efforts for critical applications. He has a strong track record at Intuit and now drives cloud modernization at Exelixis, focusing on resiliency, operational efficiency, and enabling ML/AI workloads at scale. An active contributor to Kubernetes autoscaling (notably enhancements to the vertical-pod-autoscaler), he combines hands-on backend work with systems-level strategy. Passionate about automation and simplifying complexity, he often translates operational pain points into configuration and controller improvements that improve reliability across teams.
10 years of coding experience
9 years of employment as a software developer
Full Stack Coding Bootcamp, A, Full Stack Coding Bootcamp, A at UC Berkeley ExtensionBachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Utkal University
Github Skills (6)
autoscaling10
kubernetes10
go10
kubernetes-pods10
configuration-management9
api-design8
Programming languages (7)
Github contributions (5)
kubernetes/autoscaler
Sep 2022 - Jan 2023
Autoscaling components for Kubernetes
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 4 PRs, 9 comments in 4 months
Contributions summary:Navin primarily focused on enhancing the vertical-pod-autoscaler component for Kubernetes. Their work involved implementing configurable parameters, specifically related to memory management during out-of-memory (OOM) events. They introduced new configuration options such as `OOMBumpUpRatio` and `OOMMinBumpUp` and integrated these configurations across multiple files within the `vertical-pod-autoscaler` package. Additionally, the user updated argument descriptions and merged upstream changes.
k8skubernetesautoscaling
navinjoy/autoscaler
Sep 2022 - Jan 2023
Autoscaling components for Kubernetes
Contributions:13 pushes, 5 branches in 4 months
k8skubernetesautoscaling
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