Job Description
W2 Acceptable
Endpoint Engineer
Duration: 6 Months, Contract
Location: Palo Alto, CA 94304 (Hybrid, 3 days Onsite)
Role Summary
This is an onsite contract role based at ***'s Palo Alto Headquarters. The Endpoint Engineer is responsible for the design, implementation, and ongoing management of the organizations device ecosystem. This role focuses on automating the lifecycle of hardware and virtual desktops to ensure a seamless, secure, and "zero-touch " experience for our global workforce. You will serve as the subject matter expert for Apple and Windows management and our cloud desktop infrastructure.
Technical Environment
Key Responsibilities
1. Unified Endpoint Management (UEM)
Required Qualifications
Education & Certifications
Bonus: AI Tool Deployment Experience
As *** continues to expand its AI-powered workforce tooling, experience deploying and managing enterprise AI tools is a strong differentiator for this role. Candidates with hands-on experience rolling out any of the following will stand out:
Enterprise AI Search & Knowledge Tools
Experience deploying Glean or similar AI-powered enterprise search platforms, including connector configuration, SSO integration (Okta/Azure AD), and end-user onboarding at scale.
Agentic AI Coding Tools
Familiarity with deploying Claude Code or GitHub Copilot to engineering teams including managing licensing, IDE plugin distribution via MDM (Jamf/Intune), and API key or credential management through secure vaulting solutions.
AI Productivity & Workflow Automation Tools
Experience rolling out AI desktop or productivity agents such as Claude Cowork, including packaging and silent deployment, managing update cadences, and coordinating with IT Security to ensure compliance with data handling policies.
General AI Deployment Best Practices
Understanding of the endpoint and identity considerations unique to AI tools: network allowlisting for LLM API endpoints, DLP policy tuning for AI-generated content, user provisioning workflows, and communicating rollout plans across IT, Security, and end-user teams.
#TB_EN
#ZR
#INFRA1
#Linkd
Endpoint Engineer
Duration: 6 Months, Contract
Location: Palo Alto, CA 94304 (Hybrid, 3 days Onsite)
Role Summary
This is an onsite contract role based at ***'s Palo Alto Headquarters. The Endpoint Engineer is responsible for the design, implementation, and ongoing management of the organizations device ecosystem. This role focuses on automating the lifecycle of hardware and virtual desktops to ensure a seamless, secure, and "zero-touch " experience for our global workforce. You will serve as the subject matter expert for Apple and Windows management and our cloud desktop infrastructure.
Technical Environment
- Apple (macOS & iOS): Jamf Pro
- Windows & Android: Microsoft Intune / Endpoint Manager
- Virtual Desktop: Amazon WorkSpaces (AWS)
- Scripting: PowerShell, Bash, Python
Key Responsibilities
1. Unified Endpoint Management (UEM)
- Daily Operations: Perform daily upkeep, system maintenance, and regular patch management for all managed endpoints to ensure security and stability.
- Service Desk Escalation: Serve as the final point of contact and subject matter expert for service desk escalations related to complex endpoint issues.
- Apple Fleet: Architect and maintain the Jamf Pro environment for all macOS and iOS devices. Manage configuration profiles, policies, and patch management.
- Windows & Android: Lead the administration of Microsoft Intune, ensuring robust policy application, security baselines, and application delivery.
- Provisioning: Manage Apple Business Manager (ABM) and Windows Autopilot to deliver a true zero-touch deployment experience.
- Administer and optimize Amazon WorkSpaces.
- Manage WorkSpaces directories, custom bundles, and image creation/maintenance.
- Troubleshoot connectivity and performance issues within the AWS ecosystem.
- Develop and maintain sophisticated scripts in PowerShell and Bash to automate manual tasks and integrate system APIs.
- Build and maintain a library of packaged software (dmg, pkg, msi) for silent deployment.
- Implement automated reporting for hardware inventory, license compliance, and security auditing.
- Enforce endpoint security standards, including FileVault/BitLocker encryption and EDR agent health.
- Partner with Security teams to remediate vulnerabilities across the endpoint fleet.
Required Qualifications
- Experience: Minimum 3 to 5 years in an Endpoint Engineering or MDM-focused role.
- Jamf Mastery: Proven experience managing both macOS and iOS at scale via Jamf Pro.
- Intune Proficiency: Experience managing Windows environments through Microsoft Endpoint Manager.
- VDI Expertise: Hands-on experience with Amazon WorkSpaces administration.
- BYOD Deployment: Experience deploying and managing a Bring Your Own Device (BYOD) program for personal mobile phones (iOS/Android).
- Advanced Scripting: Ability to write and debug Bash and PowerShell scripts from scratch.
- Identity: Understanding of Okta or Azure AD (Entra ID) as it relates to device enrollment and SSO.
Education & Certifications
- Bachelors degree in Computer Science, IT, or equivalent professional experience.
- Relevant certifications (e.g., Jamf 200/300, Microsoft MD-102, or AWS Certified Cloud Practitioner) are a plus.
Bonus: AI Tool Deployment Experience
As *** continues to expand its AI-powered workforce tooling, experience deploying and managing enterprise AI tools is a strong differentiator for this role. Candidates with hands-on experience rolling out any of the following will stand out:
Enterprise AI Search & Knowledge Tools
Experience deploying Glean or similar AI-powered enterprise search platforms, including connector configuration, SSO integration (Okta/Azure AD), and end-user onboarding at scale.
Agentic AI Coding Tools
Familiarity with deploying Claude Code or GitHub Copilot to engineering teams including managing licensing, IDE plugin distribution via MDM (Jamf/Intune), and API key or credential management through secure vaulting solutions.
AI Productivity & Workflow Automation Tools
Experience rolling out AI desktop or productivity agents such as Claude Cowork, including packaging and silent deployment, managing update cadences, and coordinating with IT Security to ensure compliance with data handling policies.
General AI Deployment Best Practices
Understanding of the endpoint and identity considerations unique to AI tools: network allowlisting for LLM API endpoints, DLP policy tuning for AI-generated content, user provisioning workflows, and communicating rollout plans across IT, Security, and end-user teams.
#TB_EN
#ZR
#INFRA1
#Linkd
Numbers & Facts
| Location | Palo Alto, CA |
| Industry | Staffing/Employment Agencies |
| Company Size | 5,000 to 9,999 employees |
| Year Founded | 2002 |
| Website | http://www.talentburst.com/ |
About Company
For over 20 years, TalentBurst Inc. has been an award-winning provider of cutting-edge Workforce Management Solutions. With a strong commitment to staying ahead in the tech landscape, we pioneer innovative approaches to talent acquisition. Our expertise spans Life Sciences, and Healthcare Staffing, Banking, Financial, IT, and Engineering, as well as Global Employer of Record (EOR), Agent of Record (AOR), State, Local Government and Education (SLED), and IC validation/compliance services. Additionally, our division, TalentProcure, leads the industry with offerings such as High Hazard Payroll, Managed Services, and Vendor on Premise (VOP) solutions.
Due to our prioritization of excellent standards, we are Joint Commission Certified and are a certified Minority Business Enterprise (MBE) in the USA and Canada. Supporting over 130 Fortune 500 companies globally, we excel in navigating the landscape of talent acquisition. In a world of constant change, we embrace developing people-centric solutions that address the unique demands of our clients. Stay connected by visiting our website and following us on social media!