Platform Engineer – AI & Automation Platform
RemoteUnited States
Job Summary
Build, manage, and evolve shared platform engineering capabilities across Power Platform, Dynamics 365, Azure, AWS, APIs, and integrations. Support AI-enabled development workflows including local agents, Copilot-assisted engineering, and automated SDLC pipelines. Design and maintain CI/CD pipelines, deployment automation, environment strategies, and platform governance standards. Implement reusable platform services, automation frameworks, connectors, and developer acceleration tooling. Build and support platform observability including telemetry, logging, monitoring, alerting, and operational dashboards. Support automated quality engineering practices and implement security controls including RBAC, managed identities, and secrets management. Partner with Enterprise Architecture, Cybersecurity, and Data & AI teams to align implementations with enterprise standards. Drive platform reliability, resiliency, and scalability while contributing to developer experience improvements through automation and self-service tooling.
Required Qualifications
- 8+ years of experience in Platform Engineering, Cloud Engineering, DevOps, Automation Engineering, or related enterprise engineering roles
- Hands-on experience with Microsoft Power Platform, Dataverse, Dynamics 365 F&O, Azure services, and enterprise integrations
- Experience building and supporting CI/CD pipelines using Azure DevOps, GitHub, or similar platforms
- Experience with infrastructure automation, deployment scripting, environment management, and configuration management
- Strong understanding of APIs, integrations, authentication, OAuth, REST services, and enterprise integration patterns
- Experience supporting cloud-native and hybrid architectures across Azure and AWS
- Experience with observability tooling, monitoring platforms, telemetry pipelines, and operational diagnostics
- Experience with AI-enabled engineering workflows, Copilot technologies, LLM integrations, automation tooling, or agentic workflows
- Strong understanding of platform security, governance, operational controls, and enterprise engineering standards
- Experience supporting agile product delivery teams in large enterprise environments
- Strong troubleshooting, automation, and systems thinking capabilities
Desired Qualifications
- Experience with Power Platform Copilot Studio, Azure AI Foundry, Azure OpenAI, or enterprise AI enablement platforms
- Experience supporting AI orchestration, MCP-based integration patterns, automation agents, or AI-assisted SDLC workflows
- Experience with automated testing frameworks, Playwright, pipeline-based quality enforcement, or test automation platforms
- Experience with containerization, serverless architectures, and modern cloud platform services
- Experience with Application Insights, Log Analytics, Power BI operational reporting, or enterprise telemetry platforms
- Familiarity with SOX controls, audit readiness, operational governance, and regulated enterprise environments
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