
Enterprise Cloud Architectural Specialist
2 weeks ago
Job Title: Senior Full-Stack/Platform Engineer — Azure AI Governance SaaS
As a senior full-stack engineer, you will be responsible for designing and implementing secure, scalable services on Microsoft Azure.
Key Responsibilities:
- Design and build multi-tenant back-end services on Azure behind API Management.
- Integrate Azure Machine Learning 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.
- Enforce Azure Policy baselines, IAC for repeatable deployments.
- Build observability, SLOs, alerting, and secure secret management.
- Collaborate with Product and Compliance on governance features.
Required Skills and Qualifications:
- 5+ years building cloud services with multi-tenant architectures.
- Hands-on experience with API Management, App Service or AKS, Functions, Key Vault, Azure Monitor/Log Analytics.
- Experience with Azure Machine Learning and RAI tooling or equivalent ML governance stack.
- Proficiency in C#/.NET or Node.js/TypeScript or Python; SQL/Cosmos; CI/CD.
- Security/Compliance fundamentals: RBAC, Private Endpoints, encryption at rest/in transit; Azure Policy.
Benefits:
- Develop your skills and expertise in cloud computing and AI governance.
- Contribute to innovative projects that drive business growth and success.
- Work collaboratively with a talented team of engineers and product managers.
Others:
- Ship a secure tenant onboarding flow.
- 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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