Platform Engineer – AI Automation

This is a fully remote position, open to applicants in New Jersey.

📋 Description

• Develop, oversee, and enhance shared platform engineering capabilities across Power Platform, Dynamics 365 F&O, Azure, AWS, APIs, integrations, and digital applications.

• Support and operationalize AI-driven development workflows including local agents, Copilot-assisted engineering, orchestration services, and automated SDLC pipelines.

• Design and maintain CI/CD pipelines, deployment automation, environment strategies, release controls, and platform governance standards.

• Implement reusable platform services, automation frameworks, connectors, templates, shared components, and developer acceleration tools.

• Support AI and automation lifecycle capabilities including Power Platform Copilot Studio, M365 Copilot integrations, Azure AI Foundry, machine learning workflows, and agent orchestration patterns.

• Build and support platform observability, including telemetry, logging, monitoring, alerting, tracing, and operational dashboards.

• Support automated quality engineering practices such as pipeline validation, regression execution, automated testing integration, and release gating.

• Implement and operationalize platform security controls, including RBAC, managed identities, API security, secrets management, DLP policies, audit logging, and environment governance.

• Collaborate with Enterprise Architecture, Cybersecurity, Cloud Engineering, and Data & AI teams to ensure implementations align with enterprise standards and governance requirements.

• Support AI governance practices, including behavioral monitoring, agent lifecycle controls, Responsible AI enforcement, risk evaluation, and operational review processes.

• Assist product and engineering teams with platform onboarding, automation adoption, environment provisioning, troubleshooting, and platform optimization.

• Drive platform reliability, resiliency, scalability, and operational excellence across shared engineering services.

• Contribute to improvements in developer experience through automation, self-service tooling, standardized patterns, and reusable engineering assets.

• Support initiatives for cost optimization, performance tuning, and operational efficiency across cloud and platform services.

⛳️ Requirements

• Over 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 in building and supporting CI/CD pipelines using Azure DevOps, GitHub, or similar platforms.

• Experience in 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.

• Familiarity with observability tools, monitoring platforms, telemetry pipelines, and operational diagnostics.

• Experience with AI-enabled engineering workflows, Copilot technologies, LLM integrations, automation tools, 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 capabilities in troubleshooting, automation, and systems thinking.

🏝️ Benefits

• Health insurance.

• Professional development opportunities.

• Remote work options.