Senior Full-Stack Engineer, Internal Tools

🕒 2 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

info

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Raya

51 - 200 funcionários

🌍 Impacto Social

👥 B2C

📱 Mídia

Social Impact • B2C • Media

Raya é uma comunidade privada e baseada em assinaturas que conecta celebridades, influenciadores e outros profissionais através de um aplicativo de rede social. Conhecida por sua exclusividade e discrição, Raya oferece uma plataforma para networking e interação social entre seus membros de elite. É frequentemente referida como 'o Tinder dos famosos', oferecendo oportunidades tanto para namoro quanto para conexões profissionais.

Descrição

• 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 • Apply recommendation, ranking, and search techniques to internal tools, partnering with data science and product to set priorities • Reduce technical debt through targeted refactors and establish engineering standards through design reviews • Build reusable components and tooling across projects • Serve as the escalation point for deep debugging and partner with security to secure admin interfaces • Help engineers grow through pairing, code review, and direct feedback • Write specifications and documentation for team execution • Translate product requirements and technical vision into specifications, system designs, and implementation plans • Balance hands-on coding with technical leadership in an approximately 80/20 split

🎯 Requisitos

• 5+ years building software, with a track record of shipping systems that scale • Strong system design and architecture skills • Extensive experience with JavaScript/TypeScript and Node.js • Advanced, production-grade React skills • Hands-on experience 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 • Production experience with Next.js • Experience with recommendation, ranking, or search systems • Product-minded approach focused on users • Background building internal tools or operations platforms • Comfort with cloud infrastructure, Docker/Kubernetes, and CI/CD • Familiarity with prompt engineering, fine-tuning, or shipping ML in production

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