FluidStack

Data Center Production Operations Engineer

Buffalo, NY$140k–$200kfulltimemidAdded today

About this role

Fluidstack seeks a Data Center Production Operations Engineer to deploy, maintain, and troubleshoot server and network hardware at massive scale while supporting 24/7 operations during rapid infrastructure expansion. You'll own critical systems spanning hardware installation, incident response, and escalation support in a fast-paced environment where operational excellence directly impacts AI infrastructure deployment.

What you'll do

Install, deploy, and configure server and network hardware; manage asset records and component replacements
Work rotating shifts and on-call rotations to maintain 24/7 SLAs and resolve production tickets
Troubleshoot hardware issues at component level (POST, BIOS, IPMI, BMC) and diagnose network faults
Act as first responder for on-site incidents and coordinate with engineering SMEs for complex escalations
Support network cabling diagnosis, replacement, and structured cabling initiatives
Build relationships with customers, internal teams, and vendors while providing operational support

What they're looking for

Server hardware deployment and troubleshooting (BIOS, PXE, IPMI, BMC, component-level repair)
Network protocols and diagnostics (TCP/IP, Ethernet, physical-layer fault identification)
Linux administration and ticket management under SLA constraints
On-call and shift-work readiness with team leadership capability
Network hardware knowledge (switches, routers, copper/fiber cabling)
Python or Bash scripting (bonus)
GPU server fleet experience (bonus)
Hyperscale or high-density AI infrastructure familiarity (bonus)

Benefits

Competitive salary ($140,000–$200,000) plus equity
Health, dental, and vision insurance
Retirement or pension plan aligned with local norms
Generous PTO policy
Opportunity to shape operational standards at civilization scale
Ownership of high-impact infrastructure work

Likely interview questions

Tell us about a time you deployed and supported server hardware at scale—what challenges did you face and how did you solve them?
Walk us through how you'd troubleshoot a server that's failing POST—what tools and techniques would you use?

Describe your experience diagnosing physical-layer network faults. How do you isolate copper vs. fiber issues?
How have you handled incident response in a 24/7 SLA environment? Give an example of a critical ticket you resolved.
What experience do you have with GPU server fleets or hyperscale AI infrastructure, and how has it shaped your approach to hardware operations?
Tell us about a time you mentored or lifted up junior technicians on your team—how do you balance that with your own ticket load?
Why are you drawn to working in a rapidly expanding, high-intensity environment where you're building playbooks from scratch rather than inheriting them?

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