Jyoti Mahapatra is a Principal Engineer with 6+ years of experience building resilient, large-scale cloud-native systems and control planes, currently at NVIDIA after leading key EKS initiatives at AWS. She has deep systems and backend expertise in Go, Java, C#, C, multithreading and algorithmic design, with hands-on ownership of API machinery, availability, and resiliency for hundreds of thousands of Kubernetes clusters. At AWS she designed and delivered confidential computing and a TPM/Nitro-based attestation service to make the EKS control plane cryptographically tamper-proof and auditable by third-party assessors. Her open-source contributions include backend improvements to Amazonโs EKS pod identity webhook and impactful refactors and features for Envoyโs go-control-plane and envoyproxy projects, reflecting a focus on maintainability and runtime behavior. Colleagues count on her for balancing pragmatic engineering with strong security and operational guarantees. She combines production-grade engineering with a track record of shipping auditable, security-first infrastructure at cloud scale.
6 years of coding experience
12 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at National Institute of Technology Rourkela
Contributions:12 reviews, 11 commits, 4 PRs in 2 months
Contributions summary:Jyoti primarily contributed to the backend logic of the project, focusing on the `pkg/cache` and `pkg/handler` packages. Their work included fixing a bug related to regional STS endpoints, adding metrics for the usage of SA annotations, and incorporating a gauge to track the usage of the webhook. The user also added and reverted several metrics-related changes.
Contributions:17 reviews, 11 commits, 25 PRs in 8 months
Contributions summary:Jyoti primarily contributed to the internal structure and API of the go-control-plane project. Their work focused on removing deprecated fields, refactoring code, and creating v2 and v3 folder structures to improve organization. These efforts involved separating components, refactoring core server files, and introducing a new passthrough response type to optimize resource handling, showing a focus on the project's internal workings and maintenance.
golangapiplanedata-plane
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