---
title: 'Infrastructure Engineer at Sarvam'
canonical: 'https://feeny.ai/job/infrastructure-engineer-sarvam-bengaluru-rfqe8sbcff7f'
type: 'job'
last_seen: '2026-10-31'
---

# Infrastructure Engineer at Sarvam

- **Company:** [Sarvam](https://feeny.ai/companies/sarvam)
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-26
- **Last confirmed live:** 2026-10-31
- **Apply:** https://jobs.ashbyhq.com/sarvam/f09b6a35-e2d1-4833-8bc5-2b495991d882

## Job description

## About the team

Sarvam builds Indic-language AI used at population scale. The CPU Infrastructure team runs everything outside the GPU fleet: Kubernetes across Azure, AWS, GCP and Indian sovereign clouds, the network between them, Cloudflare, identity, secrets, observability, cost and the delivery pipeline every product ships through. The team builds and runs what it builds. Engineers own real systems end to end, and every repeated piece of manual work is a candidate for automation. As an AI company, we are building AI agents into our own operations, to plan and review infrastructure changes, triage alerts and handle routine issues, with engineers setting the guardrails.

## About the role

You keep the infrastructure behind Sarvam’s products running. You handle day-to-day operations — deployments, provisioning, access, incidents and cost questions — and you are expected to automate that work away. We hire for one instinct above everything else: you notice something done by hand every day, ask why it can’t run itself, and build the thing that removes it — a script, a pipeline step, a bot, a small Kubernetes operator, or an AI agent that does the work. Operations is a large part of this role, and it is where you find what is worth automating. As you automate your own toil away, more of your time goes into platform and automation work. Products you may work on Sarvam builds across a broad range of AI products: voice agents, coding agents, coworker agents, dubbing, our API platform, and the real-time voice and WebRTC infrastructure underneath them, among many others. You will work on the infrastructure behind them.

## Responsibilities

- Own infrastructure operations across Sarvam’s products: deployments, provisioning requests, access, environment issues, cost questions
- Respond to incidents, write the runbook or postmortem afterwards, and fix the cause
- Automate repeated work: turn manual steps into pipeline jobs, Terraform modules, templates or self-service for product teams
- Build AI-assisted automations: agents that triage alerts, summarise incidents, review routine changes or answer product teams’ infrastructure questions, with a human approving anything risky
- Security basics: keep images and dependencies patched, rotate credentials, keep secrets out of code, fix security findings
- Reliability basics: keep dashboards and alerts accurate, track SLOs and cost, delete noisy alerts
- Take part in on-call

## Requirements

- 2–5 years in DevOps, SRE, infrastructure or backend engineering
- Has built infrastructure outside a ticket: a homelab, an open-source contribution, a side project, or an internal tool nobody asked for — and can show the code (GitHub, a blog post or a demo)
- Comfortable on the Linux command line: processes, networking basics, logs, systemd
- Working knowledge of Docker and Kubernetes; has deployed and debugged something running on a cluster
- Scripting in Python, Go or Bash
- Basic Git and CI/CD experience
- Has spotted a repeated manual task — a daily review, a recurring fix, a routine request — and built something that removed it: a script, a CI job, a bot or a Kubernetes operator. You can walk us through what you noticed, why it mattered, what you built and what it saved
- Has used LLMs or AI agents to automate real work, not only for writing code
- Fixes causes rather than the same symptom twice; asks “why is this manual?” before doing it again
- Curious, takes ownership, wants to grow into platform engineering
- Nice to have: Terraform, a public cloud (AWS, Azure or GCP), Prometheus / Grafana, exposure to SIP, WebRTC or real-time media, any cloud or Kubernetes certification

## About Sarvam

## Company Overview
- **One-liner**: Sarvam is building India's full-stack sovereign AI platform, delivering state-of-the-art models and enterprise-grade applications for Indic languages.
- **Entity Type**: Private (Series A – $41M raised)
- **Headquarters**: Bengaluru, India
- **Founded**: August 2023
- **Founders**: Dr. Vivek Raghavan, Dr. Pratyush Kumar

## Core Business
- Primary industry: Artificial Intelligence / Generative AI
- Target customers: Enterprises, Government, Developers (B2B, B2G)
- Mission: Make AI widely accessible to everyone in India by building foundational components that reflect how the country thinks, speaks, reasons, and solves problems.

## Products & Services
- **Sarvam Cloud**: Fully managed, automatically scaling API platform for Indic AI capabilities.
- **Speech to Text (Saaras)**: High‑accuracy ASR across 12 Indic languages.
- **Text to Speech (Bulbul)**: Natural voices across 11 Indic languages.
- **Translation**: State‑of‑the‑art translation across 23 languages.
- **Document Digitisation (Akshar)**: Convert PDFs and images into structured data.
- **Vision Models**: Image understanding and processing.
- **Samvaad**: Conversational AI studio for building voice agents.
- **Arya**: AI‑for‑work platform with forward‑deployed engineers for custom agent design and integration.
- **Deployment Options**: Private cloud, on‑premise, hybrid, or air‑gapped environments.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private)
- **Key Metric**: Total funding $41M (from Khosla Ventures, Lightspeed, Peak XV Partners)
- **Notable Investors/Partners**: Khosla Ventures, Lightspeed, Peak XV Partners
- **Growth Signals**: 62 open positions across engineering, models, product, sales, and more; case studies with large‑scale deployments (50,000+ farmer feedback calls, millions of policy calls); SOC 2 Type II, ISO 27001, DPDP compliant.

## Competitive Advantages
- **Sovereign AI**: All technology developed and operated entirely in India, with full data control and compliance with Indian data protection laws.
- **Full‑stack platform**: From foundational models to enterprise agents, everything built in‑house.
- **Forward‑deployed engineering**: Dedicated engineers embedded with customer teams to ensure successful delivery.
- **Population‑scale impact**: Proven ability to serve millions of users in Indic languages across government and BFSI.
- **Deployment flexibility**: Can run on any infrastructure, including air‑gapped for regulated industries.

## Strategic Focus
- Continue building state‑of‑the‑art models and tools for Indic languages.
- Expand enterprise and government adoption of conversational AI agents.
- Nurture the Indian AI ecosystem by open‑sourcing models and tools.
- Scale team rapidly (62 open roles) to support growing customer demand.

## Why Work Here
- **Mission‑driven opportunity**: Shape AI that serves India’s linguistic and cultural diversity.
- **On‑site first**: All roles are based in Bengaluru (Delhi also available), fostering deep collaboration.
- **Cutting‑edge work**: Foundational model research, ML infrastructure, full‑stack product engineering.
- **High‑impact culture**: Teams work directly with customers via forward‑deployed engineers, seeing immediate real‑world use.
- **Backed by top investors**: Financial stability and growth runway from Lightspeed, Peak XV, and Khosla Ventures.

## Sources
1. [sarvam.ai](https://www.sarvam.ai/)
2. [sarvam.ai/about-us](https://www.sarvam.ai/about-us)
3. [sarvam.ai/careers](https://www.sarvam.ai/careers)
4. [jobs.ashbyhq.com/sarvam](https://jobs.ashbyhq.com/sarvam)
5. [linkedin.com/company/sarvam-ai](https://www.linkedin.com/company/sarvam-ai)

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