Cloud Engineer

3 days ago


Jodhpur, Rajasthan, India beBeeEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Description:

We're seeking a highly skilled professional to design and implement a multi-tenant AI-governance platform on Microsoft Azure. This is an excellent opportunity for an experienced engineer to leverage their expertise in cloud services, API management, and machine learning to drive innovation and growth.

This role will involve working closely with cross-functional teams to deliver a secure, scalable, and user-friendly platform that meets the evolving needs of our customers. If you have a passion for developing cutting-edge solutions and are looking for a challenging role that will allow you to grow professionally, we want to hear from you.

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 to ensure seamless scalability and security.
  • 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 to ensure high-quality content.
  • 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).
Requirements:
  • 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.
Benefits:
  • Opportunity to work on cutting-edge projects.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.
Success in 90 days:
  • 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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