- 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.

- Strong 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