DevOps Engineer

Sarvam’s Work Agents team builds the harness for developing, evaluating, and serving autonomous agents at scale. The harness is the backbone behind how agents are run, tested, orchestrated, and deployed and it needs infrastructure that is as reliable and fast-moving as the agents themselves.

This role sits across both sides of infrastructure. You will build the tooling, pipelines, and automation that make the harness self-service and reproducible, and you will operate the day-to-day keeping CI/CD healthy, environments consistent, networks and tunnels up, and deployments running smoothly. It is a mix of engineering and operations, not pure SRE-on-call and not pure platform-product work.

You should be a hands-on DevOps engineer fluent in Kubernetes, comfortable with cloud infrastructure (AWS primarily, Azure secondarily), and literate in the networking and CI/CD concerns that keep a multi-cluster, multi-tenant environment running. You will work closely with the engineers building the harness; your job is to make their work shippable, observable, and operable at scale.

What You’ll Do

• Kubernetes platform operations. Run and maintain multi-cluster Kubernetes environments — upgrades, node lifecycle, RBAC, namespace hygiene, policy enforcement, and troubleshooting across environments.

• CI/CD and release engineering. Own the pipelines that take the harness from commit to production - build, test, scan, sign, and deploy across environments, with rollout patterns (canary, blue-green, rollback) wired into the platform.

• Cloud infrastructure (AWS primary, Azure secondary). Provision and maintain cloud resources via infrastructure-as-code - VPCs, subnets, IAM, compute, storage, and managed services - with reproducibility and cost awareness built in.

• Networking and connectivity. Manage platform-level network plumbing — CNI configuration, ingress and service routing, network policies, and secure cross-cluster and on-prem connectivity via VPN tunnels, peering, and transit paths.

• Automation and tooling. Build the glue that makes the harness self-service — CLIs, scripts, operators, and internal tooling that reduce toil and let engineers get work done without filing tickets.