Remote- full time- Posted July 30, 2026- via djinni.co
You will be redirected to djinni.co to apply.
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.
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.