Deepika Dixit is a Senior Software Engineer with 8 years of experience building large-scale, cloud-native systems, currently at Veeam in the San Francisco Bay Area. She combines strong Java and C# foundations with practical Go and Kubernetes experience, contributing backend and DevOps improvements to the CNCF sandbox project Kanister (notably S3/GCP support and restic integration). Her background spans both Windows and Unix environments and includes hands-on work in data management, backup/restore, and disaster recovery for enterprise applications. Deepika holds a Master’s in Computer Science from Arizona State University and has applied academic research skills—such as a distributed Kohonen Net implementation—to production engineering. Colleagues know her for refactoring complex systems to improve interoperability and for shipping reliable features across cloud storage and multi-zone scenarios.
7 years of coding experience
10 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Arizona State University
Bachelor of Engineering (BE), Computer Engineering, Bachelor of Engineering (BE), Computer Engineering at University of Mumbai
An extensible framework for application-level data management on Kubernetes, Kanister is a Cloud Native Computing Foundation sandbox project and was originally created by the Veeam Kasten team.
Role in this project:
Backend & DevOps Engineer
Contributions:11 reviews, 57 commits, 30 PRs in 2 years 9 months
Contributions summary:Deepika primarily contributed to the Kanister project by implementing and refactoring backend features, particularly related to object store interactions and data management. They worked on improving AWS S3 compatibility, GCP multi-zone support and the restic integration. Their contributions also encompassed refactoring existing code and adding new functionalities like the "DeleteData" function. The user demonstrates skills in Go programming, cloud-native concepts, and Kubernetes.
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