IT Infrastructure Capacity Analyst

FluidStack
Austin, New York, San Francisco, Seattle
Workplace: OnsiteFull timeUSD 143,000 - 173,000 annuallyFunction: Supply Chain & LogisticsSkills: ["Extreme ownership","Reconciliation","Analysis to action","Automation mindset"]

Model and plan IT and hardware capacity across Fluidstack’s compute pipeline, translating site-level needs into actionable capacity views. Reconcile demand against orders, inventory, and lead times, flagging gaps before schedules slip. Build and maintain planning/procurement capacity models refreshed automatically, and investigate discrepancies end-to-end so miscounts don’t become missed energization.

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FluidStack
FluidStack
1 month ago

IT Infrastructure Capacity Analyst

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Last checked: 7 hours agoStatus: Live

Job Summary

Model and plan IT and hardware capacity across Fluidstack’s compute pipeline, translating site-level needs into actionable capacity views. Reconcile demand against orders, inventory, and lead times, flagging gaps before schedules slip. Build and maintain planning/procurement capacity models refreshed automatically, and investigate discrepancies end-to-end so miscounts don’t become missed energization.
Location: Austin, New York, San Francisco, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Supply Chain & Logistics
Seniority: Mid level

Key Responsibilities

  • •Model IT and hardware capacity across the compute pipeline, including what compute, network, and support gear each site needs and when.
  • •Reconcile demand with orders, inventory, and lead times, and flag gaps before they affect schedules.
  • •Build capacity views used by planning and procurement, ensuring they are refreshed automatically.
  • •Chase and resolve discrepancies so miscounts don’t lead to missed energization.
  • •Support hardware-supply planning using available data (e.g., ERP data) and forecasting methods.

Pay and Benefits

Salary: USD 143,000 - 173,000 annually

Key Requirements

  • •Experience in capacity, demand, or supply planning for hardware-heavy operations.
  • •Ability to build models in SQL or spreadsheets that handle messy source data.
  • •Strong reconciliation skills—ensure numbers tie out or clearly explain discrepancies.
  • •Ability to translate analysis into action (e.g., ordering, shifting plans, escalating issues).
  • •Experience automating refreshes rather than rebuilding models by hand.
Experience:Data centersHardware supply chain
Skills:Extreme ownershipReconciliationAnalysis to actionAutomation mindset
Tech Stack:SQLSpreadsheetsPythonERP

Company Brief

FluidStack
Builds and deploys large-scale GPU cloud infrastructure for AI labs, enterprises and governments, providing high-performance AI training and inference capacity and rapid data-center deployment services.
Industry: Cloud Computing
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: New York, United States
Founded: 2017
Glassdoor
Glassdoor: 4.7
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