Infrastructure Engineer

present of AI; Bengaluru; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Sarvam AI seeks a DevOps/SRE backend-focused engineer to run daily infrastructure operations across multiple clouds and Kubernetes clusters. You’ll handle deployments, access requests, incidents and cost questions, promoting automation to reduce repetitive work.

A candidate with 2–5 years in DevOps or SRE, comfortable with Linux, Docker, Kubernetes and scripting, and able to showcase a self-built project, will fit well and contribute to AI-powered infrastructure initiatives.

Qualifications

• 2–5 years in DevOps, SRE or backend work
• Experience with Linux, Docker, Kubernetes and scripting
• Ability to show a project built independently

Responsibilities

• Daily infrastructure operations for Sarvam AI products: deployments, access requests, incidents and cost questions across clouds and Kubernetes clusters
• Spot repeated manual work and build automation to remove it
• Help evaluate AI-driven infra changes and improve runbooks and incident write-ups

Skills

DevOps

SRE

Backend work

Linux

Scripting language

Tools

Docker

Kubernetes

Go

Python

Bash

Job description

The role covers daily infrastructure operations for Sarvam's products, such as deployments, access requests, incidents and cost questions, across several clouds and Kubernetes clusters. A strong candidate has two to five years in DevOps, SRE or backend work, is comfortable with Linux, Docker, Kubernetes and a scripting language, and can show a project they built on their own. What matters most is the habit of spotting repeated manual work and building something that removes it.

How it fits the AI era

AI changes this work by taking on routine tasks like sorting alerts, summarising incidents and reviewing small infrastructure changes, so engineers spend less time on repetitive chores. What stays human is judgment on risky changes, setting the limits agents work within, finding the real cause of an outage and deciding what is worth automating.

How it builds AI experience

Someone in this role would help build AI agents that run parts of a real production setup serving Indian language AI products, including voice and coding tools. To prepare, build a small agent that triages alerts or answers infrastructure questions, add a human approval step for risky actions, and publish the code with a short write-up of what it saved.

Worth showing

• Automation that removed manual work
• Kubernetes deploy and debug projects
• Python, Go or Bash scripts
• LLM agent used on real tasks
• Incident write-ups and runbooks

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Sarvam AI

Sarvam AI builds a full-stack sovereign AI platform for Indian languages, developed, deployed, and governed entirely in India (per the company).