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FluidstackFluidstack

Strategy & Operations Software Generalist

Build and maintain internal tools, automation systems, data pipelines, and dashboards to streamline operations at an AI compute infrastructure company. Requires 1-4 years in fast-paced operations/consulting roles, strong programming skills (Python/SQL), and the ability to independently ship projects from ambiguous requirements.

About the job

Core 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

Day-to-Day

  • Work closely with leadership to execute on technical priorities
  • Write clean, maintainable code for internal tools and automation projects
  • Manage multiple concurrent software projects with a high degree of autonomy
  • Liaise with internal stakeholders to gather requirements, troubleshoot technical issues, and deliver solutions
  • Debug and optimize existing systems and processes
  • Continuously identify opportunities to solve problems through software and automation

Qualifications

  • 1-4 years of experience in a fast-paced, generalist operations or consulting role, ideally at a startup or scale-up
  • 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

What we Value

  • Strong programming fundamentals and software engineering practices
  • Problem-solving mindset with ability to architect solutions from ambiguous requirements
  • Strong attention to detail and ability to work independently with minimal supervision
  • Adaptable and comfortable working in a dynamic, ambiguous environment
  • Strong communications & stakeholder management
  • Intrinsic bias towards action
  • Interest in or exposure to the tech/AI industry preferred but not required

Salary & Benefits

Total compensation may also include equity in the form of stock options.

Skills

Python, SQL, R, MATLAB, Software Engineering, Data Pipelines, DevOps, Automation, APIs, Dashboards

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