Role overview
As a leader in point-of-sale solutions for alternative consumer finance, Katapult enables consumers to access the products they need while helping merchants broaden their customer base.
Our mission is clear: to unlock financial possibilities through innovative technology. Our vision is to remove financial barriers and transform the shopping experience with technology that simplifies and enhances access for consumers. Our core values reflect how we operate—we aim to uplift our employees, customers, and retail partners by offering transparent and innovative financial solutions. We deliver outstanding results through dedication, integrity, and teamwork, creating opportunities for success and growth every day. Inclusion is at the heart of who we are; together, we achieve more. We work hard, play hard, and celebrate big wins.
At Katapult, we believe that opportunity is everything, and our people drive our success. We seek individuals who are committed to excellence, eager to learn, and ready to bring their best every day. With a competitive benefits package, an engaging culture, and ample opportunities for career advancement, Katapult is committed to investing in its people.
What you'll work on
This role is ideal for an engineer who enjoys working on mission-critical decision systems and wants to develop deep expertise in credit risk, fraud, and underwriting infrastructure.
What we're looking for
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
- 3+ years of professional experience with a strong emphasis on backend or platform engineering
- 2+ years of experience deploying and operating machine learning models in production environments
- Strong experience building Python-based services and APIs
- Experience with cloud infrastructure (AWS preferred), including deployment, scaling, and monitoring
- Solid understanding of software engineering best practices: testing, CI/CD, version control, and documentation
- Proficiency in Python and SQL
- Experience across the ML lifecycle, with emphasis on deployment, monitoring, and iteration
- Strong debugging skills and comfort working with mission-critical systems
- Ability to communicate technical concepts clearly to diverse audiences
- Strong sense of ownership, attention to detail, and ability to work independently
- Experience with fraud systems, risk platforms, NLP, or LLM-based models is a plus