Sr. Desktop Engineer

Job Description

LRS Consulting Services is seeking a Senior Desktop Engineer to join a collaborative, tight‑knit IT operations team supporting a mid‑sized, globally distributed organization. This role is responsible for the management and administration of the PC ecosystem, including endpoint deployment, application packaging, policy management, and end‑user support across office and remote environments.

The team operates with a flat structure and minimal siloing, providing exposure to technologies beyond desktop engineering, such as identity management, networking, and security platforms. Cultural fit is critical; the team values collaboration, initiative, and mutual support.

• Manage and administer the Microsoft 365 and Intune environment, including policy configuration, device compliance, and Autopilot deployment.
• Build, maintain, and deploy application packages through Intune, including push delivery and self‑service via the Company Portal.
• Administer Active Directory, Entra , and related identity services.
• Manage and support the Connect Wise platform for endpoint management, remote control, and privileged access management.
• Maintain PC inventory and asset tracking to ensure accurate records.
• Provide escalated desktop support for hardware and software issues across the organization.
• Collaborate with senior engineers on infrastructure projects spanning virtualization, networking, and security.
• Participate in the transition from a SharePoint‑based ticketing system to an improved platform.
• Support the organization’s global footprint with occasional travel for project work.

• Proficiency with Microsoft Intune, including device management, policy deployment, application packaging, and Autopilot.
• Strong Microsoft 365 administration experience across the full suite (Exchange Online, Teams, SharePoint, Entra ).
• Solid Active Directory and Entra  skills, including account management, group policy, and identity services.
• Hands‑on experience with PC lifecycle management, including imaging, hardware troubleshooting, and software deployment.
• Strong end‑user support skills with the ability to triage and resolve issues independently.
• Permanent authorization to work in the U.S.; sponsorship is not available.
• Third‑party candidates will not be considered; all candidates must be willing to work on a W2.

• Power Shell scripting and automation capabilities.
• Experience with Connect Wise or similar endpoint management and remote support platforms.
• Familiarity with Okta or other identity and access management platforms.
• Exposure to Crowd Strike or similar endpoint security tools.
• Experience with Meraki networking, Palo Alto firewalls, or similar infrastructure technologies.
• Experience managing Chromebooks via Google Workspace or iOS devices via Apple Business Manager.
• Prior experience in a mid‑sized, non‑siloed IT environment where team members wear multiple hats.

This hybrid position is based out of Northbrook, IL (3 days onsite, 2 days remote). Flexible start times are available to accommodate personal schedules. Minimal after‑hours expectations; availability is required only for rare emergency situations. Optional travel opportunities to domestic and international sites (Europe, Asia, Mexico) may arise for project work.

The base range for this contract position is $45.00 – $65.00 per hour, depending on experience. Pay within the range is determined by role, level, location, and individual qualifications.

LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status.

In some cases, LRS Consulting uses generative artificial intelligence (“AI”) in support of its hiring processes. LRS takes steps to ensure AI does not result in discrimination based on protected class. AI may be used solely to assess candidate qualifications, and all decisions are made by LRS employees. If AI will be used for this position, applicants will be notified and have the opportunity to opt out.

Please contact  with any questions.