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Support Engineer: Modern Endpoint Engineer | Intune AI Automation

Remote Full-time Live

About the position We’re seeking an experienced Systems Engineer to design, implement, manage and support modern endpoint management across Microsoft and Apple ecosystems with a strong focus on automation, operational excellence, and DevOps-aligned practices. This role blends Intune engineering with automation /AI , CI/CD awareness, and continuous improvement in a multi-customer environment .

Responsibilities

  • Microsoft Intune Engineering Design, implement, and maintain Microsoft Intune configurations for Windows and mobile devices
  • Lead customer migration projects to Microsoft Intune
  • Build, manage, and maintain: Compliance policies Configuration profiles Endpoint security policies and baselines Application deployments and assignments
  • Troubleshoot enrollment, policy, and application delivery issues; perform root-cause analysis and remediation
  • Support Windows provisioning workflows, including Autopilot-related processes
  • Support and administer Apple Business Manager (ABM) integrations with Microsoft Intune
  • Manage Apple enrollment workflows, including Automated Device Enrollment (ADE)
  • Support VPP app procurement, assignments, and deployment troubleshooting
  • Maintain and document repeatable enrollment standards and operational procedures for Apple devices
  • Create and maintain automation for common Intune and endpoint management tasks
  • Build scripts and repeatable processes to reduce manual portal work and improve consistency
  • Apply DevOps principles to endpoint and infrastructure workflows, including: Version controlled scripts and configurations CI/CD style automation pipelines where appropriate Standardized build, deployment, and configuration practices
  • Build, maintain, and monitor configuration standards across customer environments
  • Improve operational visibility and standardization through reporting, metrics, and structured outputs
  • Collaborate with peers to test, validate, and continuously improve automation and operational designs
  • Use AI tools to improve operations, documentation, troubleshooting, and customer outcomes
  • Collaborate with teams exploring AI driven workflows and automation enhancements
  • Contribute to or support initiatives using Microsoft Copilot, Connex AI, and/or Azure AI Foundry
  • Produce internal documentation, runbooks, and customer ready guidance
  • Partner with cross-functional teams to support escalations and standardize best practices
  • Provide technical guidance and knowledge sharing to support and engineering teams
  • Contribute ideas and feedback to improve tooling, workflows, and service delivery

Requirements

  • Strong hands-on experience with Microsoft Intune (MDM/MAM), including migrations, policy creation, app deployment, and troubleshooting
  • Solid understanding of endpoint security concepts and compliance controls
  • Strong troubleshooting skills with the ability to communicate clearly with both technical and non-technical audiences
  • Demonstrated ability to document processes and create repeatable operational standards
  • Experience with automation and scripting (PowerShell, GitHub, CI/CD and/or equivalent) with a mindset for continuous improvement
  • Familiarity with DevOps concepts such as configuration management, automation pipelines, testing, and version control
  • AI familiarity: Microsoft 365 Copilot (preferred), Copilot Studio (bonus), ConnexAI (bonus), Azure AI Foundry (bonus), or similar AI platforms
  • Interest in using AI to improve service delivery, documentation quality, and operational efficiency

Nice-to-haves

  • Experience in a managed services or multi-customer environment
  • ConnectWise Manage / Asio RMM experience
  • MD-102 Certification
  • Bachelor's Degree
  • Previous consulting experience
  • Experience managing Apple devices using Apple Business Manager (ABM) & Intune

Benefits

  • High-impact role with ownership over modern endpoint management strategy and execution
  • Opportunity to build automation and operational improvements that scale across environments
  • A team culture focused on continuous improvement, standardization, and smart use of emerging tools (including AI)

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