Data Center Engineer

Contract: 15 months contract, renew yearly

Location: Markham, 5 days in office

Hourly Rate: $45-50/hr, incorporated

Working Hours: 40 hours per week

THE PERSON:

The ideal candidate combines deep technical expertise in infrastructure design with hands-on experience building large compute farms and automation systems, and has a strong understanding of datacenter operational constraints. Able to demonstrate strong architectural judgment, operational discipline, and a practical understanding of the technologies that enable scalable infrastructure.

KEY RESPONSIBILITIES:

• Design and deploy distributed, large-scale GPU test automation farm optimized for performance, scalability, and reliability.
• Drive compliance with standards for power, cooling, networking, and management systems.
• Collaborate with cross-functional teams (QA, IT, software, datacenter ops, and engineering) to deliver seamless test workflows and system integration.
• Evaluate and implement technologies that improve deployment efficiency, system observability, and scalability (containerization, virtualization, orchestration, MaaS, etc.).

PREFERRED EXPERIENCE:

• Proven expertise in GPU or HPC cluster environments, including system provisioning, scheduling, and performance tuning.
• Expert background in Windows and Linux administration, including automation tools and scripting.
• Hands-on experience with MaaS (Metal-as-a-Service) platforms for large-scale bare-metal provisioning.
• Knowledge of Network Boot (PXE, iPXE, UEFI) configurations and automation.
• Experience building or integrating inventory health management systems, including real-time monitoring of servers, network devices, and supporting services.
• Skilled in space allocation and racking strategies in datacenter or lab environments.
• Deep understanding of power planning for dense compute environments.
• Experience with network design and topology optimization for high-throughput data paths.

ACADEMIC CREDENTIALS:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.