Job Details

Full-Stack Software Engineer (Backend-Leaning) | Fully Remote | Willow Processing

Willow Processing is modernizing the systems behind our loan processing operations and building the integrations that connect us with lending partners. We're looking for a backend-leaning full-stack engineer to join our small team and own meaningful work from day one.

What you'll do

• Own features end to end: scope, design, build, ship, and monitor
• Collaborate with teammates and operations staff on larger efforts
• Build backend services and partner-facing APIs
• Build and improve the web interfaces our staff and users rely on
• Build AI-powered automation for internal workflows, with the guardrails and human review around it
• Migrate data and logic from legacy systems without disrupting live operations
• Make good technical decisions on your own and keep work moving without waiting for direction

What we're looking for

• 3+ years of professional software engineering with a strong backend focus, ideally TypeScript/Node or Python
• Solid frontend skills with a modern framework like React or Next.js
• Production experience designing and operating APIs (auth, idempotency, retries, observability)
• Strong relational database and data migration skills
• Hands-on experience building with AI tooling (LLM APIs, prompt design, tool use, or agent workflows), ideally in Python, and sound judgment about where AI needs checks
• A track record of owning work from idea to production, and of collaborating well when the work is shared
• Comfort with ambiguity, a fast pace, and clear written communication in a remote team

Bonus points

• Shipped AI features in production
• DevOps experience (CI/CD, infrastructure as code, deployment automation)
• Fintech, lending, or mortgage experience
• Startup or small-team background

If you'd rather ship and iterate than wait for a perfect spec, and you enjoy teaming up when the work calls for it, we'd love to hear from you. Real loans and real money flow through what we build, so we care about doing it well.

Compensation $85,000 to $95,000 per year.

Interview process

1. A 15-minute screening call
2. A one-hour technical round with situational questions about how you'd approach real problems (no live coding, no take-home assessment)
3. A final conversation with our founder

How to apply: Apply on LinkedIn and answer the screening questions honestly. We read every application ourselves, and we use AI tools every day, so you're welcome to use them to help you write. After you apply, we'll email a few short written questions to the people we'd like to talk to, so please make sure the email address on your LinkedIn profile is current. This role is open to candidates based in the United States who are authorized to work here without sponsorship.