Role description
CastleCastle is the finance app that saves homeowners time and money.
Homeowners use Castle to pay for and track all of their home expenses in one place. Castle then monitors those transactions for opportunities to save. The average Castle customer saves more than $10,000 on their home.
Housing affordability is a major problem in the U.S. At Castle, we believe that homeowners deserve better data when it comes to managing their biggest asset. We’re building payments infrastructure for the largest consumer category in the U.S. — to help people automate, consolidate, and reduce their spend.
In this role you’ll be a foundational and versatile member of our engineering team, focused on building a simpler, smarter, and more intuitive experiences for homeowners. You’ll collaborate closely with our Head of Engineering, Head of Design, and fellow engineers to bring to life a user-friendly app that clarifies complex home expense management and builds long-term trust with our customers.
This role is perfect for someone who is passionate about solving complex problems and excited to learn new technologies. You’ll have an opportunity to shape a powerful product at an early-stage, high-growth company.
Core Responsibilities Include:
Building and maintaining:
A robust, scalable, and secure financial platform;
Web and mobile applications that help homeowners track, understand, and pay for their home expenses;
AI-powered data pipelines that transform customer data into insights, including finding savings opportunities.
What You’ll Need:
Strong computer science fundamentals and problem-solving skills.
Ability to write clean, maintainable, and well-tested code.
Curiosity to learn new technologies and tackle ambiguous challenges.
Qualifications:
Bachelor’s degree in Computer Science or a related field (or equivalent practical experience).
Experience with modern programming languages and web technologies (e.g., JavaScript/TypeScript, React, Node.js, Python, etc.).
Bonus: experience in fintech, billing systems, or working with financial data.