Senior Cloud Platform Specialist

3 days ago

Davangere, Karnataka, India beBeeCloudEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

We are seeking a Senior Full-Stack/Platform Engineer to join our team on Azure AI Governance SaaS. The ideal candidate will have expertise in designing and implementing secure, scalable services; integrating Azure ML Responsible AI tooling and Microsoft Purview; and enforcing policy guardrails with Azure Policy.

About the Role

This is a fantastic opportunity for an experienced cloud engineer to take ownership of building a multi-tenant AI-governance platform on Microsoft Azure. As a senior member of the engineering team, you will be responsible for:

  • Designing and implementing back-end services on Azure (App Service/AKS/Functions) behind Azure API Management.
  • Integrating Azure ML (model registry/endpoints) and Responsible AI Dashboard/Toolbox to generate fairness, error, and explainability reports.
  • Implementing Azure AI Content Safety checks in the prompt/response path.
  • Connecting datasets, prompts/outputs, and lineage to Microsoft Purview; building audit/reporting workflows (AI Foundry → Purview).
  • Enforcing Azure Policy baselines (networking, encryption, diagnostics), IAC for repeatable deployments.
  • Building observability (App Insights/Log Analytics), SLOs, alerting, and secure secret management (Key Vault).
  • Collaborating with Product and Compliance on governance features (access reviews, approvals, audit exports).
Required Skills and Qualifications

To succeed in this role, you will need to possess the following skills and qualifications:

  • 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

The successful candidate will have the opportunity to work on a challenging project that requires innovation and technical expertise. You will be part of a dynamic team that values collaboration and continuous learning. Our company offers competitive compensation packages and opportunities for professional growth and development.

Success in 90 Days

In the first 90 days, the ideal candidate should be able to achieve the following milestones:

  • 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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