Datacenter Technician

Overview

Unisys Corporation is seeking an experienced On-Site Service Engineer (OSE) to support enterprise data center and server environments
, including next-generation AI platforms. This is a hands-on, customer-facing role focused on maintaining uptime, resolving complex hardware issues, and delivering outstanding on-site service. Prior AI experience is not required—strong data center and server fundamentals are what matter most.

• Provide on-site support for Dell server and data center systems, ensuring rapid issue resolution and minimal downtime
• Perform hardware maintenance including server builds, swaps, component replacements, and firmware updates
• Troubleshoot system issues across hardware, firmware, and operating systems, escalating when appropriate
• Support both reactive and preventive maintenance following established procedures
• Collaborate with internal teams and customers during service events to ensure clear communication and resolution
• Document work performed and contribute to shared knowledge and best practices
• Participate in on-call rotations and support extended coverage when needed

• Experience supporting servers or data center hardware in a field, enterprise, or customer-facing environment
• Hands-on skills with server components (CPU, memory, power supplies, GPUs, etc.)
• Familiarity with Linux or similar operating systems
• Strong troubleshooting and problem-solving abilities
• Comfortable working independently on-site and communicating clearly with customers
• Willingness to learn and support emerging technologies, including AI platforms

• 3–5+ years of experience in technical support, field service, or data center roles
• Associate or Bachelor’s degree in IT or related field (or equivalent experience)
• Dell or other vendor certifications are a plus, but not required
• Ability to lift up to 50 lbs, travel to customer sites, and support flexible/on-call schedules

This role is ideal for engineers or senior technicians who thrive in fast-paced, customer-facing environments and want to work hands-on with cutting-edge AI data center technologies.