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Job
· Senior
Senior Full-Stack Engineer, Internal Tools
Fullstack Developer
• Senior
• Remote
• Full-time
•
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.
Stack
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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