Fullstack Developer React/Node.js - Remote

Job Description

Job Description

Job Title: Fullstack Developer

Job Type: Full-time

Location : Remote(Must overlap PST timezone at least 6-8 hours)

Job Summary:

This is a high-ownership fullstack role. Youll own core product surfaces end-to-end spanning architecture, backend systems, frontend execution, and production reliability. This is not a feature-factory role. Youre expected to make real architectural calls, raise the engineering bar, and move fast through ambiguity.

What Youll Own

1. Design and own end-to-end fullstack systems powering core product workflows.
2. Architect and build clean, scalable backend services and APIs with strong contracts and clear ownership.
3. Develop high-quality, performant frontend interfaces that directly ship to users.
4. Own data modeling and database performance schema design, query optimization, and long-term maintainability.
5. Partner closely with product and design to translate ambiguous requirements into shipped systems.
6. Set and uphold engineering quality standards through reviews, testing, and technical leadership.
7. Debug and resolve production issues with urgency; improve reliability, observability, and failure modes.
8. Make pragmatic tradeoffs between speed and correctness in a fast-moving AI-lab environment.

Required Background

1. Professional experience building and owning production fullstack systems.
2. Strong TypeScript experience across frontend and backend.
3. Solid backend expertise with Node.js (NestJS strongly preferred).
4. Frontend experience building real products with React.
5. Strong command of PostgreSQL and relational data modeling.
6. Experience designing and maintaining RESTful APIs used at scale.
7. Working knowledge of AWS or comparable cloud platforms.
8. Experience with microservices and/or serverless architectures.
9. Familiarity with Redis, queues, background workers, or async job systems.
10. Strong systems thinking, ownership mindset, and attention to detail.

Nice to Have

1. Experience with CI/CD, infrastructure as code, or DevOps-leaning workflows.
2. Background building cloud-native, production-grade systems from scratch.
3. Exposure to AI-adjacent, data-heavy, or ML-powered products.
4. Prior experience in high-velocity startup or lab-style environments where scope is fluid and impact is high.