React.js Node.js Fullstack Developer - Remote

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

What You’ll Own

• Design and own end-to-end fullstack systems powering core product workflows.

• Architect and build clean, scalable backend services and APIs with strong contracts and clear ownership.

• Develop high-quality, performant frontend interfaces that directly ship to users.

• Own data modeling and database performance , schema design, query optimization, and long-term maintainability.

• Partner closely with product and design to translate ambiguous requirements into shipped systems.

• Set and uphold engineering quality standards through reviews, testing, and technical leadership.

• Debug and resolve production issues with urgency; improve reliability, observability, and failure modes.

• Make pragmatic tradeoffs between speed and correctness in a fast-moving AI-lab environment.

• Professional experience building and owning production fullstack systems.

• Strong TypeScript experience across frontend and backend.

• Solid backend expertise with Node.js (NestJS strongly preferred).

• Frontend experience building real products with React.

• Strong command of PostgreSQL and relational data modeling.

• Experience designing and maintaining RESTful APIs used at scale.

• Working knowledge of AWS or comparable cloud platforms.

• Experience with microservices and/or serverless architectures.

• Familiarity with Redis, queues, background workers, or async job systems.

• Strong systems thinking, ownership mindset, and attention to detail.

Nice to Have

• Experience with CI/CD, infrastructure as code, or DevOps-leaning workflows.

• Background building cloud-native, production-grade systems from scratch.

• Exposure to AI-adjacent, data-heavy, or ML-powered products.

• Prior experience in high-velocity startup or lab-style environments where scope is fluid and impact is high.