Cloud Governance Engineer

1 week ago

Kanpur, Uttar Pradesh, India beBeeGovernance Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About the Position

We are seeking a Cloud Governance Engineer to join our team and help us build a multi-tenant AI-governance platform on Microsoft Azure.

This is a senior-level position that requires designing and implementing secure, scalable services; integrating Azure ML Responsible AI tooling and Microsoft Purview; and enforcing policy guardrails with Azure Policy.

Key Responsibilities:

  • Design and build multi-tenant back-end services on Azure (App Service/AKS/Functions) behind Azure API Management. Implement tenant isolation, rate limits, and API versioning.
  • Integrate Azure ML (model registry/endpoints) and Responsible AI Dashboard/Toolbox to generate fairness, error, and explainability reports.
  • Implement Azure AI Content Safety checks in the prompt/response path.
  • Connect datasets, prompts/outputs, and lineage to Microsoft Purview; build audit/reporting workflows (AI Foundry → Purview).
  • Enforce Azure Policy baselines (networking, encryption, diagnostics), IAC for repeatable deployments.
  • Build observability (App Insights/Log Analytics), SLOs, alerting, and secure secret management (Key Vault).
  • Collaborate with Product and Compliance on governance features (access reviews, approvals, audit exports).

Required Skills and Qualifications:

  • 5+ years building cloud services (preferably Azure) with multi-tenant architectures.
  • Hands-on with API Management, App Service or AKS, Functions, Key Vault, Azure Monitor/Log Analytics.
  • Experience with Azure ML (endpoints/registry) and RAI tooling or equivalent ML governance stack.
  • Proficiency in C#/.NET or Node.js/TypeScript or Python; SQL/Cosmos; CI/CD (GitHub Actions/Azure DevOps).
  • Security/Compliance fundamentals: RBAC, Private Endpoints, encryption at rest/in transit; Azure Policy.

Benefits:

  • A dynamic and collaborative work environment.
  • Ongoing training and development opportunities.
  • A competitive salary and benefits package.

Success Metrics:

  • Ship a secure tenant onboarding flow (RBAC + data partitioning).
  • Stand up APIM + first governance microservice with Content Safety checks.
  • Register a sample model in Azure ML, attach Responsible AI reports, and stream lineage to Purview.

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