Endpoint Engineer (UEM / VDI / Automation)

Endpoint Engineer (UEM / VDI / Automation)

Role Summary

We are seeking a highly skilled Endpoint Engineer to serve as a subject matter expert across Windows, macOS, iOS, and Android device management. This role is responsible for designing, implementing, and optimizing a secure, scalable endpoint ecosystem, with a strong focus on zero-touch provisioning, automation, and cloud-based virtual desktops.

You will play a critical role in managing Unified Endpoint Management (UEM) platforms and Virtual Desktop Infrastructure (VDI), while enabling a seamless digital experience for a global workforce.

Technical Environment

• Apple (macOS, iOS): Jamf Pro
• Windows & Android: Microsoft Intune
• Virtual Desktop: Amazon WorkSpaces
• Scripting: PowerShell, Bash, Python

Key Responsibilities

1. Unified Endpoint Management (UEM)

• Manage day-to-day endpoint operations including patching, compliance, and performance
• Act as escalation point for complex endpoint issues
• Own and optimize Apple device management using Jamf Pro (macOS & iOS)
• Administer Windows and Android environments via Microsoft Intune
• Implement zero-touch provisioning using:
• Apple Business Manager
• Windows Autopilot

2. Virtual Desktop Infrastructure (VDI)

• Administer and optimize Amazon WorkSpaces
• Manage directories, images, and custom bundles
• Troubleshoot performance and connectivity within AWS environments

3. Automation & Engineering

• Develop automation using PowerShell, Bash, and Python
• Build and maintain deployment packages (DMG, PKG, MSI)
• Automate reporting for:
• Asset inventory
• License compliance
• Security posture

4. Security & Compliance

• Enforce endpoint security controls (FileVault, BitLocker, EDR)
• Partner with Security teams to remediate vulnerabilities
• Ensure compliance with enterprise security standards

Required Qualifications

• 3–5 years in Endpoint Engineering, UEM, or MDM-focused roles
• Strong experience with:
• Jamf Pro (macOS iOS at scale)
• Microsoft Intune (Windows Android)
• Hands-on experience with Amazon WorkSpaces (VDI)
• Experience with BYOD programs (iOS & Android)
• Strong scripting skills (PowerShell Bash required)
• Identity integration knowledge:
• Okta or
• Microsoft Entra ID

Education & Certifications (Preferred)

• Bachelor’s degree in Computer Science, IT, or related field
• Certifications such as:
• Jamf 200/300
• Microsoft MD-102
• AWS Certified Cloud Practitioner

AI Tool Deployment Experience

Experience deploying enterprise AI tools is a strong differentiator:

Enterprise AI Platforms

• Glean or similar tools
• SSO integration and large-scale onboarding

Developer AI Tools

• GitHub Copilot
• Claude (or similar)
• MDM-based plugin deployment, license and API key management

AI Productivity Tools

• Packaging and deployment of AI desktop agents
• Managing updates, security, and compliance policies

AI Deployment Best Practices

• Network allowlisting for LLM endpoints
• DLP and compliance considerations
• Secure provisioning and rollout communication