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)
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