Junior Fullstack Engineer, Lending 

Job Description

What You’ll Do

• Build and maintain features across the Clasp Finance platform — including loan origination workflows, school-facing administrative tools, and servicing and collections functionality — with increasing independence.
• Write clean, tested Python and TypeScript/JavaScript code — you’ll be expected to write unit tests as a matter of course, not as an afterthought.
• Contribute to data pipeline work: writing reliable ETL jobs, building observable data flows, and being a first line of defense for data quality issues.
• Use AI-assisted development tools (Cursor, Copilot, Claude, etc.) as a genuine force multiplier — generating tests, accelerating refactors, and scaling your effective output.
• Participate actively in code reviews, design discussions, and sprint planning — you’re expected to ask questions, express opinions and express them clearly.
• Learn and apply consumer lending regulatory context (TILA, ECOA, fair lending, state licensing) with support from senior engineers — treating compliance as an engineering constraint, not a legal department problem.
• Write documentation and ask good questions — two of the most underrated skills in engineering.
  

What You’ll Need

• 0–3 years of professional software engineering experience, or equivalent through bootcamp, internships, or a strong self-directed project portfolio.
• A portfolio of personal or open source projects that demonstrates learning velocity and genuine curiosity.
• Solid, working fluency in Python, TypeScript and/or JavaScript — you write clean, readable code in both, handle edge cases proactively, and can navigate a large codebase confidently.
• Introductory familiarity with cloud infrastructure or serverless functions (AWS Lambda, GCP Cloud Functions, or equivalent) and an understanding of how production systems behave under real load.
• A learner above all — you read documentation, follow engineering blogs, experiment on side projects, and bring what you learn back to your work
• AI-native in your workflow — you use AI coding assistants deliberately to accelerate your learning and output. You’re developing strong instincts for when to trust AI output and when to verify it.
• Exceptionally high attention to detail — in a financial platform, accuracy isn’t optional. You notice edge cases, catch data integrity issues, and build systems that make correctness the default path.
• Strong communicator — you write clearly in PRs and documentation, communicate blockers early, and can explain a technical decision to a non-engineer without dumbing it down.
• Mission-connected — you care about building technology that expands access to education and economic mobility.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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