Hyperscale Data Center Operations Engineer

Pantera Capital

Southaven (MS)

On-site

USD 70,000 - 110,000

Full time

14 days+
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Job summary

SpaceXAI is seeking an Infrastructure Operations professional to design and activate data centers and AI compute facilities. You will manage process improvements, build dashboards, and drive metrics across departments.

The role focuses on visual standards, automation, and cross‑functional collaboration to reduce waste and improve efficiency. Main responsibilities include developing department metrics, conducting data analyses, and coordinating with site teams to optimize workflows and spending

Qualifications

  • Bachelor’s degree in engineering required.
  • 2+ years in operations/process improvement (internship qualifies).
  • Experience with Excel, SQL, or Python.
  • Excellent written and communication skills.
  • Ability to work extended hours and weekends as needed.

Responsibilities

  • Develop internal visual standards for internal work boards, JIRA queuing, PowerBI dashboards, and department workflow.
  • Support department continuous improvement projects such as new process rollouts/standardization.
  • Integrate with all levels of the business to understand current workflows and identify systematic gaps.
  • Define and develop department‑level metrics & associated dashboards that quantify the health of our operations and influence change.
  • Conduct in-depth analyses through SQL queries and other data analysis methods to dive into problems and identify trends for decision making.
  • Create reports, tools, and standardized metrics for operational measurements and improvements.

Skills

Excellent written and communication

Education

Bachelor’s degree in engineering

Tools

Excel
SQL
Python
Power BI
JIRA

Job description

SpaceXAI is seeking an Infrastructure Operations professional to design and activate data centers and AI compute facilities. You will manage process improvements, build dashboards, and drive metrics across departments.

The role focuses on visual standards, automation, and cross‑functional collaboration to reduce waste and improve efficiency. Main responsibilities include developing department metrics, conducting data analyses, and coordinating with site teams to optimize workflows and spending

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