6+ years hands-on DevOps / Platform Engineering experience with production Azure environments.
Deep proficiency in Infrastructure as Code (e.g. Bicep/Terraform) and CI/CD pipeline automation (GitHub Actions / Azure DevOps).
Hands-on experience provisioning Azure AI infrastructure: Azure OpenAI, Azure AI Foundry, AI Search, Container Apps/AKS, and API Management.
Robust cloud security background: VNet peering, private endpoints, secrets governance (Key Vault), zero-trust access control, and PII/data privacy compliance.
Cloud financial management (FinOps): budget guardrails, usage tracking, and token/API cost optimization rules.
Robust familiarity with containerization (Docker, Kubernetes) and Azure CLI automation.

What they will do
Stand up secure Azure landing zones and network architecture (Private Endpoints, VNet integration) for AI and data platform services.
Build modular IaC (Terraform/Bicep)



and automated CI/CD pipelines (GitHub Actions/Azure DevOps) for Python microservices and data workloads.
Implement enterprise secrets management (Azure Key Vault), RBAC, and Managed Identities across setting tiers.
Configure production container runtime environments (Azure Container Apps / AKS) for multi-agent workloads.
Establish runtime system monitoring, telemetry logging, operational alerting, and automated cost-control caps for Azure OpenAI consumption.
Partner with AI and Data Engineers to automate release deployments, continuous evaluation triggers, and infrastructure hardening.

Note : Apply to this position, only if you have 3+ Years of Experience in Azure Cloud.

📌 Senior Azure Devops Engineer Chennai
🏢 Ciklum
📍 Chennai