💼 Full-time🗓 2026-06-25
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## About the Company
Made's mission is to help homeowners save time, money, and stress. It starts with Made Card - a credit card designed specifically for homeowners, with unmatched rewards on mortgage payments, home improvements, utilities, and essential purchases. Each swipe powers a personalized home management platform where users can manage home systems & appliances, stay ahead on upkeep, and get help - from AI-driven guidance to in-person services - exactly when they need it most. By bringing together financial tools, data, and trusted professionals, we give people more control, more savings, and more time to enjoy the place they call home.
We're partnered with leading national players in the residential homeownership space - from mortgage lenders and servicers to real estate brokerages and home improvement providers - embedding Made into the key moments of the homeowner journey. These partnerships let us reach millions of households across the country and deliver meaningful benefits to homeowners.
Backed by top investors like Village Global, Jump Capital, Recharge Capital, and Soma Capital, our leadership team brings deep fintech, mortgage, and credit card experience from Ramp, Bain Capital, JP Morgan Chase, American Express, and Morgan Stanley. We're building the financial and engagement platform for the next generation of homeowners - one that puts the homeowner at the center, and redefines what it means to feel at home.
## About the Role
We're looking for a Backend Engineer to help build and scale the services that power the Made Card and homeowner platform. You'll contribute to the design, development, and maintenance of core systems while collaborating closely with product, frontend, and infrastructure teams. This is a role for someone who enjoys solving complex backend problems and wants to grow within a fast-paced startup environment.
## What You'll Do
- Feature Development: Build and maintain backend services and APIs using Python.
- Database & Systems: Design, implement, and optimize data models across Postgres, DynamoDB, and Redis.
- Infrastructure: Contribute to deployments and scaling using Kubernetes, Docker, and AWS.
- Collaboration: Partner with frontend engineers, product managers, and designers to deliver end-to-end features.
- Code Quality: Write clean, maintainable, and testable code while participating in code reviews.
- Performance & Reliability: Ensure backend services are performant, secure, and resilient.
- Problem Solving: Debug, troubleshoot, and resolve backend issues across staging and production environments.
- Continuous Learning: Stay current with backend technologies and bring new ideas to improve our stack and workflows.
## Ideal Background
- 3–5+ years of backend engineering experience.
- Proficiency in Python and experience building distributed web applications.
- Familiarity with Postgres, DynamoDB, and Redis for data modeling and optimization.
- Experience designing and consuming RESTful services.
- Understanding of Kubernetes, Docker
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