Endpoint engineer

🚀 Endpoint Engineer (Onsite – Palo Alto, CA)
📍 Location: Palo Alto, CA (Onsite Only)

🔎 About the Role
We are looking for a highly skilled Endpoint Engineer to join a fast-paced environment onsite at headquarters in Palo Alto. This role will focus on managing and automating endpoint ecosystems, ensuring a seamless, secure, and zero-touch experience for a global workforce.
You’ll act as the SME for Apple & Windows environments, while also supporting cloud-based virtual desktops.

💻 Technical Environment
Apple (macOS & iOS): Jamf Pro
Windows & Android: Microsoft Intune / Endpoint Manager
Virtual Desktop: AWS WorkSpaces
Scripting: PowerShell, Bash, Python

⚙️ Key Responsibilities
🔹 Unified Endpoint Management (UEM)
Perform system maintenance, patching, and endpoint lifecycle management
Act as escalation point for complex endpoint issues
Manage Jamf Pro (macOS/iOS) environment at scale
Administer Microsoft Intune for Windows & Android devices
Enable zero-touch deployment using ABM & Autopilot

🔹 Virtual Desktop Infrastructure (VDI)
Manage and optimize AWS WorkSpaces
Handle directories, custom bundles, and image management
Troubleshoot performance and connectivity issues

🔹 Automation & Engineering
Develop automation scripts using PowerShell & Bash
Package software for silent deployment (dmg, pkg, msi)
Build reporting for inventory, compliance, and security

🔹 Security & Compliance
Enforce encryption (FileVault, BitLocker) and endpoint security standards
Partner with security teams for vulnerability remediation

✅ Required Qualifications
3–5+ years of Endpoint Engineering / MDM experience
Strong hands-on experience with Jamf Pro (macOS & iOS)
Experience with Microsoft Intune / Endpoint Manager
Hands-on experience with AWS WorkSpaces (VDI)
Experience supporting BYOD environments (iOS/Android)
Strong scripting skills (PowerShell, Bash)
Knowledge of Okta or Azure AD (Entra ID)

🎓 Education & Certifications
Bachelor’s degree in IT / Computer Science or equivalent experience
Certifications like Jamf 200/300, MD-102, AWS Cloud Practitioner (preferred)

🤖 Nice to Have – AI Tool Deployment Experience
Enterprise AI tools (Glean or similar platforms)
Developer AI tools (GitHub Copilot, Claude Code)
AI productivity tools deployment & governance
Understanding of AI security, DLP, and rollout strategies

📩 Interested?
If you're open to an onsite opportunity in Palo Alto and have strong endpoint engineering expertise, feel free to apply or reach out directly.
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