Cloud Engineer

Summary -

• We are looking for a Cloud Infrastructure Engineer to build and operate the Azure foundation for our AI workloads and serve as the working bridge between the Cloud Infrastructure and Data teams. You will own Terraform-driven Azure infrastructure, DevOps pipelines, and hands-on platform components, including Azure AI Foundry, Model Context Protocol (MCP) servers, and Databricks.

Responsibilities -

• Build and maintain Azure infrastructure as code with Terraform, including reusable modules and multi-environment patterns.
• Provision and operate Azure AI Foundry hubs and projects, including model deployments, data connections, and identity and network configuration.
• Design and secure MCP servers that expose internal tools and data to AI agents.
• Partner with the Data team to deploy and configure Databricks workspaces, including VNet injection, private endpoints, Entra ID integration, and Unity Catalog.
• Own CI/CD pipelines in Azure DevOps or GitHub Actions for infrastructure and AI platform deployments.
• Enforce guardrails for AI workloads, including Key Vault secrets management, managed identities, and network isolation.
• Monitor platform health, reliability, and cost with Azure Monitor and Log Analytics.
• Triage cross-team platform requests, document reference patterns, and remove blockers between Cloud and Data teams.\

Requirements -

• 4 to 8 years of experience in cloud infrastructure or platform engineering.
• Strong hands-on Azure experience, including networking, Entra ID, RBAC, and managed identities.
• Advanced Terraform skills, including module design and state management.
• Working knowledge of DevOps practices, CI/CD, and Git-based workflows.
• Working knowledge of Azure AI Foundry or Azure OpenAI, including access control and network integration.
• Practical understanding of MCP and the security considerations for connecting AI agents to enterprise systems.
• Hands-on Databricks platform experience, including workspace deployment, Unity Catalog, and cluster configuration.
• Scripting skills in Python, PowerShell, or Bash.
• Experience working within SOC 2 Type II or similar control frameworks.

Preferred Qualifications -

• Experience with RAG architectures or Azure AI Search.
• Experience with GPU capacity and quota planning in Azure.

Skills

Microsoft Windows Azure, databricks, Terraform, Artificial Intelligence (AI), Azure OpenAI, Model Context Protocol (MCP), DevOps, CI/CD, GitHub