Sr. Computer Scientist - Infra Engineering

India·Noidasenior

OtherScientist

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Requirements Summary

Kubernetes & GPU Infrastructure 10+ years in SRE, platform engineering, or infrastructure roles Expert-level Kubernetes internals: scheduler, kubelet, CRDs, operators,

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OtherScientist

Role Overview
We are looking for a Senior Infrastructure Developer with 10+ years of experience to own, evolve, and scale the platform that powers our most demanding ML training workloads. This is not a "keep the lights on" role — you will be architecting systems, writing production-grade code, leading multi-quarter projects across geo-distributed teams, and setting the reliability bar for an infrastructure that thousands of GPU hours depend on every day.
You bring deep Kubernetes expertise, strong networking fundamentals, a developer's mindset, and the leadership instincts to navigate ambiguity and drive alignment across cross-functional stakeholders. You have operated systems at massive scale and felt the weight of that responsibility.
About the Platform
You will be working on a cutting-edge platform designed to train and serve large-scale machine learning models. The platform supports everything from small-scale experimentation to massive, distributed training jobs running on GPU clusters spanning thousands of accelerators. It provides ML engineers and researchers with the tools to onboard, monitor, and scale their workloads — whether a lightweight prototype or a production-grade deep learning model powering real-world applications.

Key platform capabilities:

Responsibilities

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