Senior Software Engineer

What You'll Do

Design and build production systems from the ground up, including scalable backend services, internal and external APIs, and data models that support complex financial workflows.
Take full-stack features from concept through architecture, front-end implementation, backend logic, and deployment.
Build and extend AI agent-powered workflows that carry out our credit risk operations, from underwriting and risk monitoring to collections and payments.
Use modern AI-assisted development tools (such as Claude Code, Cursor, or Copilot) as a natural part of how you build.
Contribute to evolving our engineering practices and standards, including code review norms, architecture patterns, and how we integrate AI tooling into our workflow.
Participate in code reviews and offer thoughtful, constructive feedback.
Collaborate closely with engineers, architects, designers, and product managers to solve complex problems and build products people genuinely enjoy using.
Bring a spirit of experimentation to your work, while caring about the quality of what reaches production.

What We're Looking For

Bachelor's degree or equivalent practical experience.
5+ years of professional experience working with TypeScript (React on the front-end, Node.js on the back-end).
Demonstrated strength on the backend, including designing scalable APIs, databases, and system architecture.
A track record of building full applications from scratch — modular, full-stack systems, not just features within an existing framework.
Preferred - experience as a tech lead or team lead, particularly if you grew into that role as a founding or early engineer who helped build something from the ground up.
Experience releasing and operating applications in a cloud environment like GCP or AWS.
Hands-on, everyday fluency with AI development tools such as Claude Code, Cursor, or Copilot.
A history of helping teams improve their practices and standards, beyond simply completing assigned work.
Strong ownership mentality and comfort working in a fast-moving, category-creating startup environment.
Ideal but not required:
Experience in FinTech, SaaS B2B, or agentic software for B2B, especially with credit, risk, or payments systems.
Experience building AI agent-based systems that take autonomous action, rather than generating content or summaries.
Experience working with backend policies, data flows, and complex business logic.