On-Site Service Engineer – AI Data Center
PTR Global · Ellendale, ND · 2 days ago
$35–$41/hrContract
Responsibilities
- 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.
Qualifications
- 3–5+ years of experience in technical support, field service, or data center roles.
- 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.
- Ace 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.
About PTR Global
PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada.
Pay Range
The pay range for this position is $35 - $41/hr. W2. The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the skills, education, training, credentials, and experience of the candidate; and other conditions of employment.