Infrastructure Engineer

Overview

Own the infrastructure behind Sarvam's AI products, covering day-to-day operations and the automation of repeated manual work across Kubernetes, cloud networking, identity, secrets, observability, cost and the delivery pipeline.

What you'll do

• 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
• Keep images and dependencies patched, rotate credentials, keep secrets out of code, fix security findings
• Keep dashboards and alerts accurate, track SLOs and cost, delete noisy alerts
• Take part in on-call

What you'll need

• 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 and built something that removed it: a script, a CI job, a bot or a Kubernetes operator, and can walk through what was noticed, why it mattered, what was 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

Details

• Location: Bengaluru