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Senior Full-Stack Engineer, Internal Tools

1 month, 1 week ago
Anywhere
Full-time
Senior
Full-stack Engineer
Software Development
CI/CD Docker Elasticsearch JavaScript Kubernetes Machine Learning MongoDB Next.js Node.js PostgreSQL React TypeScript
Apply Now
Raya

Raya

Raya is a global community platform fostering human connections through technology, offering a trusted space to find partners, friends, and collaborations worldwide.

Internet Software & Services
51-250
Founded 2015
View All Jobs 8

Description

  • Own technical direction for Internal Tools, including front-end architecture and component/design system strategy.
  • Turn product requirements into technical designs, system specs, and engineering tickets.
  • Design and build internal tools and admin features end to end across the front end and back end.
  • Identify and apply recommendation, ranking, and search techniques to improve internal tools.
  • Partner with data science and product to prioritize data-driven improvements.
  • Drive down technical debt through targeted refactors and engineering standards.
  • Build reusable components and tooling that can be used across multiple projects.
  • Serve as the escalation point for deep debugging and help secure admin interfaces.
  • Support engineer growth through pairing, code review, feedback, specs, and documentation.

Requirements

  • 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 experience.
  • 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 (preferred).
  • Experience with recommendation, ranking, or search systems (preferred).
  • Background building internal tools or ops platforms (preferred).
  • Comfort with cloud infrastructure, Docker/Kubernetes, and CI/CD (preferred).
  • Familiarity with prompt engineering, fine-tuning, or shipping ML in production (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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