Senior Azure Cloud AI Engineer
Tasks
- Apply DevOps and SRE practices CI CD monitoring alerting operational readiness
- Apply security by design principles identity networking encryption secrets management auditability
- Build cloud native solutions using Azure PaaS containers managed services
- Design and maintain Infrastructure as Code automations and policy enforcement
- Design build and operate Azure cloud infrastructure
- Enable AI and Generative AI workloads on Azure through secure standardized platforms
- Ensure Azure solutions comply with security privacy data governance regulatory requirements
- Implement Azure landing zones subscriptions networking identity governance
- Implement observability traceability and operational controls
- Implement secure service to service authentication using managed identities least privilege
Perks/Benefits
- Accident and life insurance
- Health insurance
- Manager support
- Network-building opportunities
- Retirement savings plans
- Training and coaching
- Tuition reimbursement
Skills/Tech-stack
AI Services | API Management | ARM | AWS CDK | Access Control | Access Management | Alerting | Azure AI | Azure AI Services | Azure API | Azure API Management | Azure Identity and Access | Azure Identity and Access Management | Azure Landing Zones | Azure Networking | Azure identity | Bicep | CI/CD | Encryption | Identity and Access Management | Infrastructure as Code | Landing Zones | Least Privilege | Logging | Managed Identities | Microsoft Azure | Monitoring | Role-Based Access | Role-Based Access Control | SLIs | SLOs | SRE | Secrets management | Terraform | “as-code”
Education
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