AI Infrastructure Generalist: End-to-End Ops & Automation

Fluidstack

New York (NY)

On-site

USD 85,000 - 120,000

Full time

14 days+
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Job summary

Fluidstack is building the infrastructure for AI-scale compute in a fast-paced, high-ambition environment. The company emphasizes autonomy, end-to-end ownership, and rapid delivery of software and automation solutions to support its operations and data workflows.

Candidates should have a strong programming foundation, experience with Python/R/SQL, and a track record of delivering projects in startups or scale-ups.

Qualifications

  • Bachelor's degree in a relevant field such as Computer Science, Mathematics, Software Engineering, Electrical/Mechanical Engineering, or Physics.
  • Experience with programming, scripting or statistical packages (e.g. Python, R, Matlab, SQL).
  • Track record of shipping projects independently in fast-paced environments.

Responsibilities

  • Build and maintain internal tools, automation systems, and software solutions across the organization
  • Develop scripts and applications to streamline operations and eliminate manual processes
  • Support engineering initiatives and ad-hoc technical projects for leadership
  • Design and implement data pipelines, dashboards, and reporting systems
  • Integrate and optimize third-party tools and APIs across business functions
  • Contribute to infrastructure automation and DevOps workflows
  • Collaborate with cross-functional teams to translate business requirements into technical solutions

Skills

Python
R
SQL
MATLAB

Education

Bachelor's degree in CS/Math/Software/EE/ME/Physics

Job description

Fluidstack is building the infrastructure for AI-scale compute in a fast-paced, high-ambition environment. The company emphasizes autonomy, end-to-end ownership, and rapid delivery of software and automation solutions to support its operations and data workflows.

Candidates should have a strong programming foundation, experience with Python/R/SQL, and a track record of delivering projects in startups or scale-ups.

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