Senior Fullstack Engineer, Lending

About the role

You will design, build, and maintain critical features across the loan origination platform, handling everything from application intake and decisioning logic through servicing and collections workflows. You will own hard problems end-to-end, creating the operational tooling, data pipelines, and product features that make a lending platform reliable and compliant. In this role, you will work directly with stakeholders to translate complex regulatory requirements into robust engineering solutions. You will apply AI tools deliberately and creatively to move faster than a team twice your size while maintaining high software quality. You will collaborate closely with the data team to ensure data accuracy is treated as non-negotiable for credit modeling and compliance reporting. You will engage with school and university technical stakeholders to build confidence in the platform's reliability and integration capabilities. You will contribute to a culture of continuous learning, high standards, and direct, low-ego feedback within a mission-driven environment.

Key facts

What you'll do

• Design, build, and maintain features across the loan origination platform, ranging from application intake and decisioning logic through servicing and collections workflows.
• Build and maintain internal operational tooling that empowers the Clasp Finance team to manage loans, configure programs, run reports, and respond to school and borrower needs with precision.
• Participate in architecture decisions, code reviews, and technical design discussions that shape the long-term health of the platform.
• Apply AI-assisted development techniques (code generation, test writing, refactoring, documentation) to asymmetrically scale your impact and ship higher-quality software faster.
• Collaborate with compliance and legal to implement regulatory requirements (TILA, ECOA, fair lending, state licensing) as first-class engineering constraints - not afterthoughts.
• Develop and instrument data pipelines alongside the data team that power credit modeling, compliance reporting, and school-facing portfolio analytics - treating data accuracy as non-negotiable.
• Engage occasionally with school and university technical stakeholders to understand integration needs and build confidence in the platform's reliability.
• Contribute to a culture of continuous learning, high standards, and direct, low-ego feedback.

Requirements

• 5+ years of professional software engineering experience with strong fluency in Python and TypeScript/JavaScript. You write clean, maintainable code and understand the tradeoffs and appropriate use cases for each language.
• Experience building operational and/or internal tooling for fintech, lending, or another regulated domain.
• AI-native in your workflow where you are using coding tools (Cursor, Copilot, Claude, etc.) as a genuine force multiplier, not just for autocomplete or review. The goal here is not to just check the box but to be a leading member of the team who is genuinely excited about what AI can unlock for Engineering.
• Familiarity with Django (or a comparable Python web framework) and React - enough to build full-stack features and understand the full request lifecycle.
• Hands-on experience with cloud/serverless infrastructure (AWS Lambda, GCP Cloud Functions, or equivalent) and modern deployment practices.
• Strong written and verbal communication skills to collaborate effectively with both technical and non-technical stakeholders across time zones.
• Comfort working in a fast-paced, high-ownership environment where priorities can shift and ambiguity is the norm.
• Eligibility to work in the United States is required, with remote work restricted to Eastern and Central time zones only, and some travel may be required.

Nice to have

• Experience with lending-specific workflows, such as loan origination systems, credit decisioning, or student financing platforms.
• Familiarity with regulatory compliance frameworks for financial services, including TILA, ECOA, and fair lending laws.
• Background building and maintaining data pipelines for analytics and reporting in regulated environments.
• Experience supporting integrations with schools, universities, or other educational institutions.

Practical notes

This role is fully remote but requires availability during Eastern and Central time zones due to overlapping team hours. Some travel may be required for team in-person gatherings or stakeholder visits. Employment is full-time, and successful candidates must be eligible to work in the United States.