Fullstack Engineer (Backend Leaning)

Fullstack Engineer (Backend Leaning)

• Title of Role: Fullstack Engineer (Backend Leaning)


• Location: San Francisco, onsite


• Company Stage of Funding: Series A — Financial Services


• Office Type: Onsite


• Salary: $180K–$220K

Company Description

We're representing a dynamic startup that helps enterprises navigate AI adoption by discovering the best products for their specialized needs and measuring the ROI of their existing AI deployments. This company is at the forefront of innovation in the financial services sector, leveraging cutting-edge technology to drive impactful solutions.

What You Will Do

• 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.

Ideal Candidate Background

• 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.

Compensation and Benefits

The base salary for this role ranges from $180K to $220K, complemented by equity options of 1% to 2%. This opportunity offers the chance to make a significant impact in a growing company at the intersection of finance and AI.