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Inversion Verified 34h ago

Senior Full Stack Engineer

Playa Vista, California, United States Remote

$139,000–$201,000 a year
Pay$139,000–$201,000
TypeNot specified
Work settingRemote
Verified listing

JobFig found this opening at its original source and checks that it remains available.

About the role

As a Senior Full Stack Engineer at Inversion, you will define and build the internal software tools that help our engineering teams innovate, make better decisions, and operate more effectively. You will own the development of internal applications across the stack, from intuitive user interfaces to backend services and integrations. This role is cross-functional and ambiguous by design: you will identify high-leverage opportunities, work closely with technical users, and help shape what high-quality internal tools should look like at Inversion. You will be a key member of the Internal Software Tools team, reporting directly to the Director of Software.

What you'll bring

  • 5+ years of professional software engineering experience building and shipping production-quality software systems.
  • Strong front-end development experience with TypeScript/Javascript and frameworks like React.
  • Experience developing backend systems, APIs, or internal tools using technologies such as Python, Node.js, or Go.
  • Strong software engineering fundamentals, including system design, testing, debugging, code quality, and maintainability.
  • Familiarity with Linux development environments and basic CI/CD workflows.
  • An innovative and optimistic approach to an environment with high ambiguity, shifting priorities, and loosely defined problem spaces.
  • Position may require occasional extended hours and/or weekend work.
  • Must have the ability to obtain and maintain a U.S. government Secret/Top Secret security clearance.
  • Experience building internal tools for engineering teams, such as dashboards, test and data review tools, documentation systems, or workflow automation.
  • Extra points if this was for Aerospace!
  • Experience integrating AI-enabled capabilities or interfaces into internal software products.
  • Familiarity with databases, data modeling, and the tradeoffs between different storage approaches.