Devops Engineer | 6+ Years | Hybrid | Chennai, Pune |

DevOps Engineer – Azure AI / Platform Engineering
Experience: 6–10+ Years
Location: Chennai / Pune
Work Model: Hybrid – 12 Days Work From Office per Month
Candidate Preference: Local candidates from Chennai or Pune only
Relocation: Candidates requiring relocation are not preferred
Role Overview
We are looking for an experienced DevOps / Platform Engineer with strong hands-on expertise in Microsoft Azure, Infrastructure as Code, CI/CD, cloud security, containers, and platform automation.
The candidate will work closely with Data Architects and AI/ML Engineers to build, secure, automate, and operate enterprise-grade Azure infrastructure supporting AI and data workloads.
Candidates with direct experience in Azure OpenAI or Azure AI Foundry will be highly preferred.
Key Responsibilities
Design and implement secure Azure Landing Zones and network architecture for AI and data platforms.
Configure and manage Private Endpoints, VNet integration, VNet peering, and secure Azure networking.
Develop modular and reusable Infrastructure as Code (IaC) using Terraform and/or Bicep.
Build and automate CI/CD pipelines using GitHub Actions and/or Azure DevOps.
Automate deployment and release processes for Python-based microservices and data workloads.
Implement enterprise-grade secrets management using Azure Key Vault.
Configure RBAC, Managed Identities, and Zero Trust access controls across multiple environments.
Provision and manage production container environments using Azure Container Apps and/or AKS.
Support infrastructure for AI/ML and multi-agent workloads.
Configure Azure API Management, Azure AI Search, Key Vault, and other Azure PaaS services using IaC.
Establish monitoring, telemetry, centralized logging, alerting, and operational observability.
Implement FinOps and cloud cost-control mechanisms, including budget guardrails, usage monitoring, and Azure OpenAI/API cost optimization.
Partner with AI and Data Engineers to automate deployments, continuous evaluation triggers, and infrastructure hardening.
Ensure infrastructure follows enterprise security, privacy, compliance, and PII protection requirements.
Required Skills
6+ years of hands-on DevOps / Platform Engineering experience.
Strong production experience with Microsoft Azure.
Strong expertise in Terraform and/or Bicep.
Hands-on experience with CI/CD automation using GitHub Actions and/or Azure DevOps.
Experience provisioning and securing Azure PaaS services through IaC.
Strong knowledge of:
Azure Container Apps
AKS / Kubernetes
Azure API Management
Azure AI Search
Azure Key Vault
Azure Networking
Private Endpoints
VNet Integration / Peering
Strong understanding of Azure security, RBAC, Managed Identities, Zero Trust, and secrets governance.
Strong experience with Docker and Kubernetes.
Good hands-on knowledge of Azure CLI and automation scripting.
Understanding of FinOps, cloud cost monitoring, budget controls, and API/token cost optimization.
Preferred / Advantageous Skills
Hands-on experience with Azure OpenAI.
Experience with Azure AI Foundry.
Experience supporting AI/ML platforms or multi-agent workloads.
Experience working closely with AI/ML Engineers and Data Architects.
Experience implementing private, secure, enterprise-grade AI/PaaS deployments.
Knowledge of PII/data privacy and enterprise cloud compliance.
Ideal Candidate
The ideal candidate is a senior Azure DevOps / Platform Engineer who can independently design and automate secure cloud infrastructure and collaborate effectively with AI/ML and Data Engineering teams.
Azure OpenAI / Azure AI Foundry experience is a strong differentiator and will be prioritized during screening.

Work arrangement
Hybrid