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Senior Full-Stack Engineer, Internal Tools

Fullstack Developer • Senior • Remote • Full-time European Union EU/EMEA

Senior Full-Stack Engineer role owning the technical direction of Raya's Internal Tools, from front-end architecture to backend systems, with a roughly 80/20 split between hands-on coding and technical leadership.

Responsibilities

  • Own technical direction for Internal Tools, including front-end architecture and component/design system strategy, and turn product requirements into technical designs and engineering tickets
  • Design and build new internal tools and admin features end-to-end, front-end through back-end
  • Find opportunities to apply recommendation, ranking, and search techniques to internal tools, partnering with data science and product to set priorities
  • Drive down technical debt through targeted refactors and set engineering standards through design reviews
  • Build reusable components and tooling that pay off beyond a single project
  • Be the escalation point for deep debugging and partner with security to keep admin interfaces locked down
  • Help engineers grow through pairing, code review, and direct feedback, and write the specs and docs that let the team build with confidence

Requirements

  • 5+ years building software, with a track record of shipping systems that scale
  • Strong system design and architecture skills
  • Extensive experience in JavaScript/TypeScript and Node.js
  • Advanced, production-grade React skills
  • Hands-on with PostgreSQL, MongoDB, or Elasticsearch, including performance tuning
  • Experience building and scaling backend systems, ideally at a startup or small company
  • Track record of mentoring engineers

Nice to have

  • Production experience with Next.js
  • Experience with recommendation, ranking, or search systems
  • Product-minded: thinking about users, not just systems
  • Background building internal tools or ops platforms
  • Comfortable with cloud infrastructure, Docker/Kubernetes, and CI/CD
  • Familiarity with prompt engineering, fine-tuning, or shipping ML in production

Soft skills

Adept in AI-collaborative development, able to define the right problems and balance human and AI-driven workComfortable operating as both the team's top technical voice and a high-output individual contributor

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