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**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. 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.
**Required Background:**
* 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.