Cloud Engineer – Design and Build Secure, Scalable Cloud Services

1 week ago


Agra, Uttar Pradesh, India beBeeCloudEngineer Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Cloud Engineer Role

About the Cloud Engineer Role
  • Design and build secure, scalable cloud services on Microsoft Azure.
  • Implement tenant isolation, rate limits, and API versioning using Azure App Service/AKS/Functions behind API Management.
  • Integrate Azure ML with 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 include:

  • 5+ years building cloud services (preferably Azure) with multi-tenant architectures.
  • Hands-on experience 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.

Nice to have are:

  • Microsoft Purview (catalog, lineage, access policies) and Azure AI Foundry experience.
  • Content moderation integrations (Azure AI Content Safety).
  • Experience in regulated environments (health/finance), data residency/sovereignty.

This is a great opportunity for those who enjoy working with cloud technologies and want to make a difference in the field of AI governance.


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