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