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# Fullstack Engineer (Backend Leaning)

- **Company:** Recruiting from Scratch
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $180,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Code Review, Distributed Systems, PostgreSQL, Machine Learning, Node.Js, Systems Development Life Cycle, TypeScript, Data Processing, Reliability of Systems, Backend, Containerization, Restful APIs, Stream Processing
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/fullstack-engineer-backend-leaning-san-francisco-ca--4f0ad121-31fa-4d35-a900-d94abd301a55

## About the Role

Financial Services, Funding, Return on Investment (ROI), Artificial Intelligence (AI), Startup, Leading Edge Technology, Systems Scalability, Node.js, Scalable System Development, Systems Maintenance, * 2-5 years of experience as a Fullstack Engineer with a strong focus on backend development.

 * Proficient in TypeScript and Node.js, with a solid understanding of PostgreSQL.
 * Proven experience building production-grade systems and scalable backend APIs.
 * Demonstrated ownership of features and the ability to work independently in fast-paced environments.
 * Experience in early-stage startups, contributing to a culture of innovation and agility.

Preferred

 * Familiarity with machine learning infrastructure and real-time data processing.
 * Experience with containerization technologies and distributed systems.
 * A proactive approach to problem-solving and a passion for building impactful solutions.

## Description

* Develop and maintain scalable backend systems using TypeScript and Node.js.
 * Design and optimize PostgreSQL databases for performance and scalability.
 * Build robust APIs that support high-volume transactions and data processing.
 * Collaborate with a small team to take features from concept to production.
 * Ensure system reliability and performance through rigorous testing and optimization.
 * Engage in code reviews and contribute to team knowledge sharing.
 * Stay current with industry trends in AI and machine learning to inform product development.