Software Engineer II, Backend - Financial Product
Financial Product Engineering
The Financial Product Engineering team is at the forefront of Rippling's expansion into FinTech. Our mission is to build a unified, global financial system for businesses—one that is fundamentally integrated with the company's employee, HR, and IT data. We simplify complex, cross-functional processes like global payroll, corporate spending, and expense management, ensuring businesses have precise control and real-time visibility over all money movement.
Benefits
- Competitive salary + benefits + equity
- Salary range: $135,000 - $225,000 USD per year (US San Francisco Bay Area)
- Salary range: $135,000 - $225,000 USD per year (US Tier 1)
- Office-based employees must work at least three days a week in an office under current policy
Requirements
- 2+ years of professional experience as a backend engineer, preferably with Python, Go, or a similar production language, and strong experience with relational databases (e.g., PostgreSQL).
- Care about business impact, balancing technical craft with speed and the bottom line to deliver value quickly.
- Ability to thrive in fast-paced, dynamic environments, demonstrating resilience and agility in the face of changing product needs.
- Excellent skills in communicating complex technical ideas with clarity to enable effective collaboration with peers and stakeholders.
Qualifications
We are looking for a talented and experienced backend engineer to join our Financial Product Engineering team. You will be responsible for designing, implementing, and testing reliable backend services and APIs that power core product features and business logic at scale. You will also work across key technical domains, including API design, data modeling, event modeling, and optimizing service performance. You will own the development lifecycle for defined features, from implementation and testing to deployment, monitoring, and support in a production environment. You will effectively integrate into cross-functional teams, contribute to technical discovery, and rapidly learn from code and system feedback.