Senior DevOps - Platform Engineer(Azure AI Infrastructure)

We're looking for a Senior DevOps / Platform Engineer to design, secure, and operate the Azure infrastructure behind our AI and data platforms. You'll build the foundation that lets AI and Data Engineers ship multi-agent workloads to production quickly, safely, and cost-effectively.

Share an updated profile to

[HIDDEN TEXT]

(+91) [phone removed]

Job Location: Pune

Mode of Work : Hybrid

What You'll Do

• Build secure Azure landing zones and network architecture (VNet integration, Private Endpoints) for AI and data platform services.
• Develop modular Infrastructure as Code (Terraform/Bicep) and automated CI/CD pipelines (GitHub Actions/Azure DevOps) for Python microservices and data workloads.
• Implement enterprise secrets management with Azure Key Vault, plus RBAC and Managed Identities across all environment tiers.
• Configure and run production container environments (Azure Container Apps/AKS) for multi-agent workloads.
• Set up system monitoring, telemetry logging, and operational alerting, along with automated cost controls and consumption caps for Azure OpenAI.
• Partner with AI and Data Engineers to automate release deployments, continuous evaluation triggers, and infrastructure hardening.

Skills Required

• Experience: 6+ years of hands-on DevOps/Platform Engineering in production Azure environments.
• IaC and CI/CD: Deep proficiency in Infrastructure as Code (Bicep or Terraform) and pipeline automation (GitHub Actions or Azure DevOps).
• Azure AI infrastructure: Hands-on experience provisioning Azure OpenAI, Azure AI Foundry, Azure AI Search, Container Apps/AKS, and API Management.
• Cloud security: Strong background in VNet peering, Private Endpoints, secrets governance (Key Vault), zero-trust access control, and PII/data privacy compliance.
• FinOps: Experience with budget guardrails, usage tracking, and token/API cost optimization.
• Containers and automation: Strong working knowledge of Docker, Kubernetes, and Azure CLI automation.