Software Engineer
Software Engineer
Software Engineer
New York
Full-Time
About the role
Application
About the Company
Our client is a mission-driven financial technology company focused on improving outcomes within consumer finance. Through data-driven products and innovative technology, the company helps financial institutions streamline collections processes while providing borrowers with more compassionate and effective pathways toward regaining financial stability.
About the Role
Engineering teams are scaling rapidly across borrower experience, client operations, and compliance infrastructure. As a Software Engineer, you'll own end-to-end delivery of features that directly impact how millions of people interact with debt resolution.
Key Responsibilities
Independently scope, design, and ship features across the stack — from targeted enhancements to multi-system integrations.
Make architectural decisions that balance long-term maintainability with immediate delivery pressure.
Translate product requirements into technical solutions, probing for edge cases and constraints.
Articulate trade-offs between technical approaches using concrete examples.
Work effectively when requirements are unclear or changing; ask clarifying questions that unblock progress.
Write maintainable, well-tested code; provide thoughtful code review feedback.
Actively use AI tools (Cursor, Copilot, ChatGPT) to accelerate development velocity.
Requirements
• 3–5 years of backend software engineering experience.
• Strong proficiency in at least one backend language (Python, Java, Go, or similar).
• Solid understanding of APIs, databases, and web technologies.
• Experience providing constructive code review feedback that improves team standards.
• Computer Science degree
Bonus Skills
Interest in fintech, consumer finance, or mission-driven companies.
Track record of working effectively with product managers and cross-functional partners.
Experience making technical decisions that balance delivery speed with long-term system health.
Specific shipped examples of building with AI/LLMs in production (not just using AI as an IDE assistant)
