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Overnight Data Center Infrastructure Engineer Jobs

Data Center Infrastructure Engineer

Seattle, WA ยท On-site

$175K - $275K/yr

AI Foundry is looking for Data Center Infrastructure Engineers to support the physical and operational foundation for large-scale AI compute. This role sits at the intersection of facilities, power ...

Data Center Infrastructure Engineer responsibilities: * Design, implement, maintain, and optimize enterprise data center infrastructure environments. * Support and administer compute, storage ...

Data Center Infrastructure Engineer responsibilities: * Design, implement, maintain, and optimize enterprise data center infrastructure environments. * Support and administer compute, storage ...

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Overnight Data Center Infrastructure Engineer information

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$51.5K

$147.5K

$197K

How much do overnight data center infrastructure engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for overnight data center infrastructure engineer in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Data Center Infrastructure Engineer vs Data Center Technician?

AspectOvernight Data Center Infrastructure EngineerData Center Technician
CertificationsCCNA, CompTIA Server+, Cisco certificationsCompTIA A+, Data Center certifications
Work EnvironmentDesign, planning, and maintenance during overnight shiftsHands-on hardware setup, troubleshooting, and repairs
ResponsibilitiesInfrastructure design, upgrades, and system optimizationHardware installation, troubleshooting, and routine maintenance

The Overnight Data Center Infrastructure Engineer focuses on designing, planning, and maintaining data center infrastructure during overnight hours, often involving system upgrades and network configurations. In contrast, Data Center Technicians handle hands-on hardware tasks, troubleshooting, and repairs on a daily basis. Both roles require certifications like CompTIA A+ or Cisco certifications, but their responsibilities and work environments differ significantly.

What cities are hiring for Overnight Data Center Infrastructure Engineer jobs? Cities with the most Overnight Data Center Infrastructure Engineer job openings:
What are the most commonly searched types of Data Center Infrastructure Engineer jobs? The most popular types of Data Center Infrastructure Engineer jobs are:
What states have the most Overnight Data Center Infrastructure Engineer jobs? States with the most job openings for Overnight Data Center Infrastructure Engineer jobs include:

Data Center Infrastructure Engineer

AI Foundry

Seattle, WA โ€ข On-site

$175K - $275K/yr

Full-time

Medical, Dental, Retirement

Posted 18 days ago


Job description

Compensation: $175K - $275K+

Travel Requirement: International travel required to India 8+ times per year

Multiple Openings: We are hiring multiple people across data center infrastructure workstreams. Exact level, scope, and team placement may vary based on experience and business needs.

AI Foundry is an AI building and consulting business working with some of the largest companies in the world. AI Foundry is partnered with a major global company operating across finance, consumer, and retail verticals, leading their AI efforts from the ground up.

The team is seeking builders who want to be part of something massive: designing and building multi-agent AI systems that will reshape how hundreds of millions of people interact with financial services, retail, insurance, and consumer products.

AI Foundry is looking for Data Center Infrastructure Engineers to support the physical and operational foundation for large-scale AI compute. This role sits at the intersection of facilities, power, cooling, racks, vendors, hardware deployment, and infrastructure operations.

If you know how to make data center infrastructure real on the ground and want to support AI compute at massive scale, we want to hear from you.

What You'll Do
  • Support data center infrastructure planning and execution across power, cooling, racks, cabling, deployment, and operations.
  • Coordinate with facilities teams, vendors, engineering, and operations to keep infrastructure work moving.
  • Track requirements, dependencies, schedules, equipment, site readiness, and operational risks.
  • Help plan and execute hardware deployments, rack layouts, cabling standards, power distribution, and cooling requirements.
  • Identify blockers in physical infrastructure delivery and escalate them with clear options.
  • Create documentation, checklists, status updates, and operating processes for distributed teams.
  • Partner with AI infrastructure engineers to align physical infrastructure with GPU workload needs.
  • Maintain a high bar for safety, reliability, and operational clarity.
  • Travel to India 8+ times per year to work directly with data center and infrastructure teams.
Who You Are
  • You have experience with data center infrastructure, facilities, hardware deployment, technical operations, or infrastructure project execution.
  • You understand the importance of power, cooling, rack density, cabling, site readiness, and vendor coordination.
  • You are highly organized and can track many dependencies without losing the critical path.
  • You communicate clearly with technical teams, vendors, facilities teams, and leadership.
  • You are practical and action-oriented when details are incomplete.
  • You can create useful documentation and operating processes.
  • You are comfortable working across time zones and with teams on the ground.
  • You care about reliability, safety, and execution quality.
  • You are energized by building infrastructure from the ground up.
How We Work

We are looking for people who use AI to raise the speed, quality, and ambition of the work while staying grounded in customers, teammates, and measurable outcomes.

  • We are hands-on with AI and technical tools, and we make ideas tangible through prototypes, clear artifacts, and working systems.
  • We move quickly, share work early, and keep refining until the product experience feels useful, polished, and memorable.
  • We focus on the hardest problems and the outcomes that matter, with the judgment to change course when the evidence points somewhere better.
  • We communicate clearly enough that teammates, leaders, and AI-assisted workflows can act on our thinking across time zones.
  • We collaborate with openness and respect, build on other people's ideas, and treat shared ownership as part of doing excellent work.
  • We speak up directly and constructively when something looks wrong, then commit fully once a decision is made.
Benefits & More
  • Medical and Dental benefits
  • 401K
  • Opportunity to shape AI strategy for 500M+ users