Software Engineer (Web Platform)

Hinoki SecuritySan Francisco, CA

About The Position

Hinoki Security is building an AI-native platform to address the shortcomings of current security tooling. The platform aims to continuously map an enterprise's real exposure, identify genuine dangers within a customer's specific environment, and drive remediation to verified resolution. The company is backed by Andreessen Horowitz and led by a founder with previous security startup experience from Google. The platform is currently in production at Fortune 500 enterprises.

Requirements

  • Three to six years of engineering experience.
  • Deep React expertise, with the ability to assist other engineers with React challenges.
  • Strong understanding of the React rendering model and hook internals.
  • Proficiency in using DevTools to identify performance issues.
  • A point of view on performance, including what to measure and why.
  • Product sense, demonstrated by shipping features with attention to detail (e.g., thoughtful empty states, user shortcuts, helpful motion).
  • Experience with AI-native workflows, using tools like Claude Code, Codex, or Cursor daily.
  • High agency and ability to ship independently.
  • Experience with TypeScript.
  • Experience with C++.

Nice To Haves

  • Experience following RSC work closely.
  • Strong opinions on Suspense boundaries.
  • Examples of performance work that the candidate is proud of.
  • Ability to articulate where AI tools help and where they don't.
  • Taste for small, reversible changes.

Responsibilities

  • Own the frontend end-to-end, including the product surface our customers interact with daily.
  • Develop verification flows where analysts confirm agents' work.
  • Build investigative features for security engineers to confirm vulnerabilities on remote assets using AI agents.
  • Create reporting surfaces where investigations are transformed into reports.
  • Push the boundaries of frontend performance.
  • Optimize React and explore the latest RSC innovations.
  • Measure and improve frontend performance.
  • Incorporate AI-native workflows into daily development.
  • Exhibit high agency by shipping features, fixing issues regardless of code ownership, and not waiting for design tickets.
  • Make small, reversible changes, extracting components judiciously and avoiding large refactors.
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