Support Engineer: Modern Endpoint Engineer | Intune AI Automation
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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