Senior Azure/DevOps Developer
Summary
Senior engineer who designs, deploys, and secures Azure-based Kubernetes and AI/LLM infrastructure using Terraform and GitHub Actions, then hands it over to customer teams.
Senior Azure / DevOps Engineer
We are looking for a Senior Azure / DevOps Engineer with strong hands-on experience in production Azure, Kubernetes, and AI/LLM infrastructure.
Its an Outstaff model.
The engineer will own enterprise deployments end to end: infrastructure provisioning, integrations, security hardening, go-live, and operational handover.
Key Responsibilities
Provision and operate isolated Azure environments and AKS clusters.
Configure private networking, VNet, private endpoints, ingress, certificates, and NetworkPolicies.
Implement Entra ID, managed identities, RBAC, PIM, and Key Vault.
Deploy and operate AI/LLM services using Azure ML, AKS, Azure OpenAI, or similar platforms.
Build RAG pipelines with Azure AI Search.
Automate infrastructure with Terraform and GitHub Actions using OIDC.
Integrate with PostgreSQL, Microsoft Fabric, Power BI, and enterprise data sources.
Prepare technical documentation, runbooks, and audit evidence.
Work directly with customer IT and security teams.
Required Experience
5+ years of engineering experience.
Strong production experience with Microsoft Azure, AKS, and Kubernetes.
Hands-on Terraform and GitHub Actions experience.
Experience with private endpoints, managed identities, RBAC, and secure enterprise environments.
Python, FastAPI, and containerized services.
Experience deploying AI, ML, or LLM workloads.
Strong understanding of Infrastructure as Code, least privilege, and secretless architecture.
English sufficient for direct communication with international technical teams.
Nice to Have
GPU infrastructure and high-throughput LLM inference.
Azure ML Managed Online Endpoints, vLLM, Azure OpenAI, or AI Foundry.
Azure AI Search, Microsoft Fabric, Power BI REST API, and PostgreSQL RLS.
Experience working in locked-down enterprise Azure environments.