Payes Anand

Staff Software Engineer at Rafay

Bengaluru, Karnataka, India
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Summary

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Payes Anand is a Staff Software Engineer with nine years of experience specializing in storage systems and cloud-native infrastructure, currently driving engineering at Rafay from Bengaluru. A core contributor to OpenEBS since its inception, he has deep, hands-on expertise across the storage stack—from low-level iSCSI and disk error analysis on FreeBSD to building CSI drivers and Kubernetes control-plane components. He combines backend and DevOps skills, demonstrated by contributions to the openebs-archive/maya project improving storage management tooling and reliability. Comfortable across virtualization and container-attached storage paradigms, he translates complex storage challenges into pragmatic, production-ready solutions. Known as a "debugger by day, coder by night," Payes blends persistent curiosity with a track record of evolving storage platforms for interoperability and scale.
code9 years of coding experience
job8 years of employment as a software developer
bookHigher Secondary, Higher Secondary at G.D Birla Memorial School, Ranikhet
bookBachelor's degree, Communication And Computer Engineering, Bachelor's degree, Communication And Computer Engineering at The LNM Institute of Information Technology
bookSenior Secondary, Non Medical Sciences, Senior Secondary, Non Medical Sciences at Milton Public School, Agra
languagesEnglish, Hindi
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Github Skills (13)

storage10
kubernetes10
go10
kubernetes-pods10
operator9
controller9
command-line-interface8
command-line8
cli8
devops8
containerization7
apidoc7
api7

Programming languages (12)

DockerfileShellJinjaCRustMakefileJavaScriptGo

Github contributions (5)

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openebs-archive/maya

Apr 2017 - Nov 2019

Manage Container Attached Storage (CAS) - Data Engines in Kubernetes
Role in this project:
userBack-end Developer & DevOps Engineer
Contributions:1 release, 10 commits, 9 PRs in 2 years 7 months
Contributions summary:Payes primarily contributed to the back-end aspects of the project by adding features related to retrieving and displaying stats for the Maya service. They also worked on integrating with an m-apiserver. Moreover, the user demonstrated DevOps skills by handling error cases in the vsm-stats command and configuring the build environment with the correct m-apiserver version. The code changes suggest a focus on improving the reliability and functionality of the storage management tools.
volumecsi-driverkubernetesstoragecas
payes/jiva

Mar 2018 - Feb 2021

Distributed and scalable storage delivered through containers.
Contributions:251 pushes, 41 branches in 2 years 11 months
golangcontainersscalabledockerstorage
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Payes Anand - Staff Software Engineer at Rafay