Cloud Engineer

Azure Platform Engineer:

Key responsibilities

• •Design and maintain Azure infrastructure for AI workloads, including Azure AI Foundry,
• Azure OpenAI Service, Azure Kubernetes Service, and Azure AI Search
• •Implement and manage identity and access controls via Azure Entra ID, enforcing RBAC
• aligned to customers data governance policies
• •Configure and monitor audit logging, cost controls, and security guardrails across all AI
• services
• •Monitor Costs and billings of various Azure services to track and escalate budgetary
• constraints/threshold limits
• •Support integration between Azure services and customer enterprise applications (ERP,
• SharePoint, and other applications.)

• Manage Azure DevOps CI/CD pipelines for agent deployment and model updates
• Leverage Agent 365 capability to establish AI Agent management protocols
• Create and maintain proper documentation/SOPs/Best Practices for audit and compliance
• Ensure infrastructure alignment with GxP requirements and contribute to validation

documentation

•Maintain platform documentation and runbooks to support long-term IT operability

Skills & Experience

• 5–8 years of experience in Azure cloud infrastructure and administration
• Microsoft certifications: AZ-104, AZ-305 or AZ-700
• Strong working knowledge of Azure Services and monitoring tools
• Experience with infrastructure-as-code
• Previous exposure to pharmaceutical or regulated industry environments is a must
• Familiarity with ML workloads on Azure is desirable but not mandatory