Platform Engineer – AI & Automation Platform
A USD 130K-304K (estimate) Senior-level Full Time
Tasks
- Apply security controls RBAC managed identities secrets management DLP audit logging
- Build automation frameworks and connectors
- Build shared platform capabilities
- Design CI/CD pipelines
- Develop reusable platform services
- Drive platform reliability resiliency scalability
- Enforce AI governance monitoring risk evaluation
- Implement AI automation lifecycle capabilities
- Implement deployment automation
- Improve developer experience automation self service tooling
- Integrate automated testing and regression pipelines
- Maintain platform governance standards
- Operate AI enabled development workflows
- Set up observability telemetry logging monitoring alerting tracing
- Support platform onboarding and environment provisioning
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | Alerting | Amazon Web Services | Application Insights | Audit Logging | Automated testing | Automation | Azure | Azure AI | Azure AI Foundry | Azure Cognitive | Azure Cognitive Services | Azure DevOps | Azure Log Analytics | Azure Monitor | Azure OpenAI | Azure Pipelines | CI/CD | Cognitive Services | Copilot Studio | DLP | Data Loss Prevention | Data loss | Dataverse | Dynamics 365 | Dynamics 365 Finance | Dynamics 365 Finance and Operations | Finance and Operations | GitHub | Infrastructure as Code | Log Analytics | Logging | Loss prevention | M365 Copilot | Managed Identity | Microsoft Power | Microsoft Power Platform | Monitoring | OAuth | OAuth 2.0 | Observability | Playwright | Power BI | Power Platform | Power Platform Copilot | Power Platform Copilot Studio | RBAC | REST API | Regression testing | Secrets management | Telemetry | Test automation | Tracing | Web Services | “as-code”
Education
N/A
Roles
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