AI-Ready Endpoint & MDM Engineer

About Us

Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $4.5B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism.

Responsibilities

What You'll Do

• The AI-Ready Endpoint & MDM Engineer is a technical role responsible for the evaluation, operation, maintenance, security, and evolution of the global endpoint environment. Reporting to the Director of AI-Ready Endpoint Infrastructure & Security, this engineer will utilize agentic AI and modern configuration management to automate the administration of the company’s unified endpoint ecosystem. This role provides engineering and development across multiple Mobile Device Management (MDM) platforms (Intune, Jamf, Google MDM, Automox) and cloud workspace solutions, including Microsoft Azure Virtual Desktop (AVD) managed via Nerdio. The engineer ensures all endpoints are hardened, compliant, and continuously prepared to serve as secure platforms for both human users and AI workloads, while applying FinOps principles to optimize cloud performance and financial efficiency.

Key Responsibilities

• Azure Virtual Desktop (AVD) & Cloud Workspace Management
• Architect, deploy, and manage Microsoft Azure Virtual Desktop (AVD) environments purpose-built to support multiple user personas, tailoring compute, storage, and application delivery to distinct organizational roles and workload requirements.
• Utilize Nerdio Manager for Enterprise to centrally manage AVD deployments, automate image staging, and streamline the provisioning of Windows cloud desktops and remote applications.
• Maintain operating efficiency and stability for remote desktop services and Azure VDI Desktops, ensuring secure, high-performance remote access.
• FinOps & Infrastructure Cost Optimization
• Implement FinOps best practices by leveraging Nerdio's advanced auto-scaling capabilities to dynamically adjust active session host VMs based on real-time user demand, significantly reducing monthly Azure compute and storage costs.
• Balance infrastructure cost optimization with a seamless user experience by configuring hybrid auto-scaling strategies that combine proactive schedule-based scaling (pre-warming capacity) with reactive performance-based scaling (CPU/memory triggers).
• Optimize storage expenditures by automating OS disk downgrades for non-persistent machines during idle periods and utilizing "Start on Connect" logic for personal 1:1 assigned desktops.
• Unified Endpoint & MDM Engineering
• Develop, deploy, and maintain management software and systems across a diverse global fleet of endpoints, including Windows 11 PCs, MacBooks, Chromebooks, Windows Servers, RHEL servers, Android, and iOS devices.
• Configure and optimize enterprise MDM platforms (Microsoft Intune, Jamf, Google MDM, and Automox) to enforce configuration baselines and compliance policies.
• Manage Operating System Deployment (OSD) task sequences, OS images, and automated software packaging pipelines for complex, multi-platform environments.
• Agentic AI, Automation & Patch Management
• Leverage agentic AI workflows to automate device lifecycle management, from zero-touch provisioning and onboarding to offboarding and secure decommission.
• Integrate intelligent agents to monitor endpoint health, interpret compliance data, and execute self-healing remediations autonomously across the MDM infrastructure.
• Manage the testing and deployment of third-party patching, as well as workstation and server security, feature, and quality updates across all operating systems.
• Governance & Support
• Gather information and implement policies required for legal and regulatory compliance, such as CMMC Level 2 and NIST 800-171 controls.
• Prioritize and respond to requests for service, providing Tier 3 escalation support and guidance to global endpoint support staff in remote locations.

Qualifications

Minimum Qualifications

• Education:
  • Bachelor’s Degree in IT, Computer Science, or a related field or an equivalent combination of education and experience from which comparable knowledge and job skills can be obtained. (One year related experience may be substituted for one year of education, if degree is required)
• Experience:
  • Minimum of 4 to 6 years of related IT experience, with at least 3 years focused specifically on endpoint systems administration, MDM platform management, and cloud virtualization.
• Other Requirements:
  • U.S. Citizenship required.
• Required Skills & Competencies:
  • Hands-on administrative expertise across multiple UEM/MDM platforms, specifically Microsoft Intune, Jamf, Google MDM, and Automox.
  • Deep proficiency in cross-platform operating system management, including Windows 11, macOS, ChromeOS, Windows Server, RHEL, iOS, and Android.
  • Expertise in designing and managing Azure Virtual Desktop (AVD) environments optimized for multiple personas and workloads.
  • Strong understanding of cloud FinOps principles and hands-on experience using Nerdio Manager for Enterprise for automated scaling, cost optimization, and dynamic resource provisioning.
  • Familiarity with extending configuration management and Zero Trust device posture checks to monitor and govern AI agents running on endpoints.
  • Proficiency in scripting languages (PowerShell, Bash, Python) and utilizing APIs to integrate platforms.

What We Bring

• At V2X we strive to be market competitive in our total reward offerings.
• The successful candidate’s starting pay will be based on, but not limited to, their job related skills, experience, qualifications, work location, and market conditions.
• The following salary range is intended to display the value of the company’s base pay compensation and may be modified at the discretion of the company.
  • USD $ 130,000 - 190,000
  • Provided salary range minimum and maximum values correspond to variances between regional/geographic locations across the United States.
• Please speak with a recruiter for additional information.
• Employee benefits include the following:
  • Healthcare coverage
  • Retirement plan
  • Life insurance, AD&D, and disability benefits
  • Wellness programs
  • Paid time off, including holidays
  • Learning and Development resources
  • Employee assistance resources
• Pay and benefits are subject to change at any time and may be modified at the discretion of the company, consistent with the terms of any applicable compensation or benefit plans.

At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.

What You'll Do

• The AI-Ready Endpoint & MDM Engineer is a technical role responsible for the evaluation, operation, maintenance, security, and evolution of the global endpoint environment. Reporting to the Director of AI-Ready Endpoint Infrastructure & Security, this engineer will utilize agentic AI and modern configuration management to automate the administration of the company’s unified endpoint ecosystem. This role provides engineering and development across multiple Mobile Device Management (MDM) platforms (Intune, Jamf, Google MDM, Automox) and cloud workspace solutions, including Microsoft Azure Virtual Desktop (AVD) managed via Nerdio. The engineer ensures all endpoints are hardened, compliant, and continuously prepared to serve as secure platforms for both human users and AI workloads, while applying FinOps principles to optimize cloud performance and financial efficiency.

Key Responsibilities

• Azure Virtual Desktop (AVD) & Cloud Workspace Management
• Architect, deploy, and manage Microsoft Azure Virtual Desktop (AVD) environments purpose-built to support multiple user personas, tailoring compute, storage, and application delivery to distinct organizational roles and workload requirements.
• Utilize Nerdio Manager for Enterprise to centrally manage AVD deployments, automate image staging, and streamline the provisioning of Windows cloud desktops and remote applications.
• Maintain operating efficiency and stability for remote desktop services and Azure VDI Desktops, ensuring secure, high-performance remote access.
• FinOps & Infrastructure Cost Optimization
• Implement FinOps best practices by leveraging Nerdio's advanced auto-scaling capabilities to dynamically adjust active session host VMs based on real-time user demand, significantly reducing monthly Azure compute and storage costs.
• Balance infrastructure cost optimization with a seamless user experience by configuring hybrid auto-scaling strategies that combine proactive schedule-based scaling (pre-warming capacity) with reactive performance-based scaling (CPU/memory triggers).
• Optimize storage expenditures by automating OS disk downgrades for non-persistent machines during idle periods and utilizing "Start on Connect" logic for personal 1:1 assigned desktops.
• Unified Endpoint & MDM Engineering
• Develop, deploy, and maintain management software and systems across a diverse global fleet of endpoints, including Windows 11 PCs, MacBooks, Chromebooks, Windows Servers, RHEL servers, Android, and iOS devices.
• Configure and optimize enterprise MDM platforms (Microsoft Intune, Jamf, Google MDM, and Automox) to enforce configuration baselines and compliance policies.
• Manage Operating System Deployment (OSD) task sequences, OS images, and automated software packaging pipelines for complex, multi-platform environments.
• Agentic AI, Automation & Patch Management
• Leverage agentic AI workflows to automate device lifecycle management, from zero-touch provisioning and onboarding to offboarding and secure decommission.
• Integrate intelligent agents to monitor endpoint health, interpret compliance data, and execute self-healing remediations autonomously across the MDM infrastructure.
• Manage the testing and deployment of third-party patching, as well as workstation and server security, feature, and quality updates across all operating systems.
• Governance & Support
• Gather information and implement policies required for legal and regulatory compliance, such as CMMC Level 2 and NIST 800-171 controls.
• Prioritize and respond to requests for service, providing Tier 3 escalation support and guidance to global endpoint support staff in remote locations.

Minimum Qualifications

• Education:
  • Bachelor’s Degree in IT, Computer Science, or a related field or an equivalent combination of education and experience from which comparable knowledge and job skills can be obtained. (One year related experience may be substituted for one year of education, if degree is required)
• Experience:
  • Minimum of 4 to 6 years of related IT experience, with at least 3 years focused specifically on endpoint systems administration, MDM platform management, and cloud virtualization.
• Other Requirements:
  • U.S. Citizenship required.
• Required Skills & Competencies:
  • Hands-on administrative expertise across multiple UEM/MDM platforms, specifically Microsoft Intune, Jamf, Google MDM, and Automox.
  • Deep proficiency in cross-platform operating system management, including Windows 11, macOS, ChromeOS, Windows Server, RHEL, iOS, and Android.
  • Expertise in designing and managing Azure Virtual Desktop (AVD) environments optimized for multiple personas and workloads.
  • Strong understanding of cloud FinOps principles and hands-on experience using Nerdio Manager for Enterprise for automated scaling, cost optimization, and dynamic resource provisioning.
  • Familiarity with extending configuration management and Zero Trust device posture checks to monitor and govern AI agents running on endpoints.
  • Proficiency in scripting languages (PowerShell, Bash, Python) and utilizing APIs to integrate platforms.

What We Bring

• At V2X we strive to be market competitive in our total reward offerings.
• The successful candidate’s starting pay will be based on, but not limited to, their job related skills, experience, qualifications, work location, and market conditions.
• The following salary range is intended to display the value of the company’s base pay compensation and may be modified at the discretion of the company.
  • USD $ 130,000 - 190,000
  • Provided salary range minimum and maximum values correspond to variances between regional/geographic locations across the United States.
• Please speak with a recruiter for additional information.
• Employee benefits include the following:
  • Healthcare coverage
  • Retirement plan
  • Life insurance, AD&D, and disability benefits
  • Wellness programs
  • Paid time off, including holidays
  • Learning and Development resources
  • Employee assistance resources
• Pay and benefits are subject to change at any time and may be modified at the discretion of the company, consistent with the terms of any applicable compensation or benefit plans.

At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.