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Endpoint Support Engineer Jobs in Michigan (NOW HIRING)

Windows endpoint engineer USC only Linkedin required need local independent candidates Remote but ... Yes, Occasional onsite presence may be required for device access, pilot support, or incident ...

Provide support for complex end-user computing solutions. * Develop and deploy scripts for ... Knowledge of security best practices for endpoint management. * Microsoft certifications (e.g ...

The Director of Endpoint Engineering provides strategic, architectural, and engineering leadership ... support clinical operations, patient care, and business functions. As a key member of the ...

Cloud Infrastructure Engineer III - Workplace Engineering/M365 AI & Engineering helps organizations ... endpoint management, and user support environments. * Support enterprise implementations of ...

Lead Workplace Engineer II/M365

Detroit, MI · On-site

$101K - $133K/yr

Lead Cloud Infrastructure Engineer II - Workplace Engineering/M365 AI & Engineering helps ... endpoint management, and user support environments. * Support enterprise implementations of ...

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Endpoint Support Engineer information

What cities in Michigan are hiring for Endpoint Support Engineer jobs?

Cities in Michigan with the most Endpoint Support Engineer job openings:

Infographic showing various Endpoint Support Engineer job openings in Michigan as of June 2026, with employment types broken down into 2% As Needed, 23% Full Time, 73% Part Time, 1% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Support Engineer: Modern Endpoint Engineer | Intune AI Automation

Grand Rapids, MI • Hybrid

Full-time

Re-posted 17 days ago


Job description

Job Posting: Systems Engineer

Department: Advanced Services
Location: Hybrid/Remote (as applicable)
Employment Type: Full-time


About the Role

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.

What You'll Do (Key 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

Apple Device Management (ABM / ADE / VPP)

  • 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

Automation, DevOps & Operational Excellence

  • 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

AI Awareness & Enablement

  • 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

Documentation, Training & Collaboration

  • 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


What We're Looking For (Required Qualifications)

  • 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


Preferred Qualifications

  • 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



Why Join Us

  • 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)