Senior Fullstack Engineer, Lending (Clasp Finance)

About the role

Clasp is a venture-backed, mission-driven startup transforming access to education and career pathways. We are revolutionizing the way employers attract and retain critical talent and the way colleges and universities support their students through education financing — all while tackling the student debt crisis.

What We Need

• 5+ years of professional software engineering experience with strong fluency in Python and TypeScript/JavaScript.
• 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 as a genuine force multiplier.
• 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 communicator to explain technical decisions to non-engineers and write documentation others actually want to engage with, not just AI fluff.

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.

What You'll Need

• Experience with AI tools (Cursor, Copilot, Claude, etc.) as a genuine force multiplier, not just for autocomplete or review.
• Any prior exposure to fintech, payments, banking, or financial services — even adjacent experience counts.
• Experience designing and building data pipelines, ETL workflows, or event-driven systems that need to be reliable, observable, and correct.
• Familiarity with TILA, ECOA, or state lending regulations and their technical implications.
• Prior experience working in a startup environment where you've worn multiple hats.
• Experience integrating with loan servicers, payment processors, or financial data providers.

What We Give

• Competitive cash and equity compensation
• Health benefits (health, dental, & vision)
• Student loan repayment benefits
• 401k matching
• Commuter benefits
• Flexible PTO policy
• Opportunities to grow and perform in a fast-paced environment alongside a stellar team

Schedule

Remote (ET & CT time zones only – some travel required)

Pay

The salary range for this position is competitive and will be commensurate with the candidate's experience, qualifications, and industry knowledge, ranging between $135,000 - $165,000 annually. In addition to the base salary, we offer an attractive equity component as part of our compensation package, providing an opportunity for eligible employees to share in the success and growth of our company.