Overview:
We're looking for a hands-on, mid-level Infrastructure Engineer focused primarily on infrastructure management — automating operations with Python and scripting, operating our container platform, maintaining delivery pipelines, and supporting the databases and services the wider team depends on.
You'll work alongside senior engineers, owning well-scoped areas and growing into broader responsibility.

Key Responsibilities
Automation & tooling — Write and maintain Python and shell tooling to automate provisioning, operations, monitoring, and day-to-day platform tasks.
Container orchestration — Deploy, monitor, and troubleshoot workloads on a container-orchestration platform, including packaging apps and managing setting config.
CI/CD pipelines — Build and maintain automated build, test, and deploy pipelines; help teams ship changes safely and repeatably.
Build & runner infrastructure — Support the self-hosted build/runner fleet and container image registry the pipelines rely on.
Data services & secrets — Assist with database deployments, upgrades, scaling, and backups; manage credentials through a centralized secrets store (no hardcoded credentials).




Observability & releases — Operate monitoring and dashboards, respond to alerts, and support multi-stage data/application releases.
Cloud provisioning — Provision and maintain cloud compute, storage and secrets across dev, stage, and production.

Required Skills & Experience
2–4 years in a DevOps, infrastructure, platform, or SRE role.
Solid Python and shell scripting for automation and tooling — a core, day-to-day part of this role.
Hands-on experience with a major public cloud provider, container technologies, and a container-orchestration platform.
Experience building and maintaining CI/CD pipelines.
Comfortable working in Linux environments.
Solid Git fundamentals and working knowledge of secrets management.
Methodical troubleshooting and a documentation-friendly approach.

Nice to Have
Exposure to Azure and Google Cloud Platform (GCP).
Operating databases (relational, graph, search, or analytical) in production.
Observability tooling, supply-chain security practices, or data-intensive / ML workloads.
Interest in the life-sciences / biomedical domain.

📌 Infra Devops Engineer Chennai
🏢 Virtusa
📍 Chennai