Senior Full-Stack Engineer, Internal Tools

Accountabilities

• • Own the technical direction and architecture for internal tools, including front-end architecture, reusable components, and component or design system strategy.
  • Translate product requirements and technical vision into clear technical designs, specifications, engineering tickets, and implementation plans.
  • Design and build new internal tools and administrative features end-to-end, contributing across both front-end and back-end systems.
  • Identify and prioritize opportunities to apply recommendation, ranking, search, and other data-driven techniques to improve internal workflows and user experiences.
  • Collaborate with product and data science stakeholders to determine where intelligent automation can deliver meaningful improvements and reduce manual effort.
  • Drive down technical debt through targeted refactoring, architectural improvements, and proactive engineering standards.
  • Conduct design reviews and establish development practices that improve the quality, maintainability, scalability, and reliability of internal systems.
  • Build reusable components, frameworks, and engineering tooling that can create value across multiple projects rather than solving isolated problems.
  • Serve as the escalation point for complex technical issues and deep debugging, helping teams diagnose and resolve challenging production problems.
  • Partner with security stakeholders to ensure administrative interfaces and internal systems are appropriately protected and access-controlled.
  • Mentor and support engineers through pairing, code reviews, technical guidance, and direct feedback.
  • Produce clear technical specifications and documentation that enable engineers to execute confidently and consistently.

  Requirements

  • 5+ years of professional software engineering experience, with a proven track record of designing and delivering scalable production systems.
  • Strong system design and software architecture capabilities, with the ability to make sound technical decisions across complex applications.
  • Extensive hands-on experience with JavaScript and TypeScript, particularly within Node.js-based environments.
  • Advanced, production-grade experience building modern applications with React.
  • Strong experience with PostgreSQL, MongoDB, Elasticsearch, or comparable data technologies, including database performance optimization and tuning.
  • Demonstrated experience designing, building, and scaling backend systems, ideally within a startup, scale-up, or small engineering organization.
  • Proven experience mentoring engineers and helping teams improve technical quality and engineering practices.
  • Strong full-stack capabilities and willingness to remain highly hands-on, with approximately 80% of the role focused on implementation and 20% on technical leadership.
  • Production experience with Next.js is a strong advantage.
  • Experience developing recommendation, ranking, search, or other intelligent data-driven systems is preferred.
  • Background building internal tools, administrative platforms, operations systems, or workflow applications is highly valued.
  • Familiarity with cloud infrastructure, Docker, Kubernetes, CI/CD, and modern software delivery practices.
  • Experience with prompt engineering, model fine-tuning, machine learning integrations, or deploying ML capabilities into production is a plus.
  • Product-minded approach with the ability to understand user needs and translate them into practical, scalable technical solutions.
  • Strong communication, collaboration, problem-solving, and technical decision-making skills.
  • Comfortable working in an AI-collaborative development environment and using AI tools thoughtfully to accelerate engineering without compromising quality or judgment.

  Benefits

  • Opportunity to take ownership of the technical direction for a critical internal tools ecosystem.
  • Highly hands-on role with significant influence over architecture, engineering standards, and technology choices.
  • Exposure to recommendation, ranking, search, automation, and AI/ML-enabled product development.
  • Opportunity to build scalable systems and reusable engineering foundations with impact beyond individual projects.
  • Collaborative environment with close partnership across engineering, product, data science, security, and leadership teams.
  • Strong opportunity to mentor engineers and contribute to the growth of engineering practices and technical culture.
  • Remote opportunity within the United States.
  • Flexible and modern engineering environment focused on ownership, continuous improvement, and thoughtful use of technology.