Fullstack Developer (React/Node.js) - US

Core team
$230K - $280K/yr compensation

Required Skills

React
Node.js
AWS
PostgreSQL
DevOps

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. 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

  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.


Compensation & Benefits Notice

The annual base salary range for this full-time position is $130,000–$180,000 USD. micro1 seeks to engage exceptional talent regardless of location and offers generous compensation packages to all employees. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, and additional benefits designed to support a high-performing, remote-first workforce.


Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.


Regional Hiring Notes

This role is being hired in parallel across multiple regions due to coverage needs, compliance requirements, and time-zone alignment. Responsibilities and expectations are identical; employment terms vary by region.

About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.

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Please note that after completing the interview process, you’ll be added to our talent pool and considered for this and other roles that match your skills.

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