01Overview
we're building the next generation of lending technology and we work like a startup inside a regulated financial company. Small teams. High ownership. Short feedback loops. A real bias for shipping.
AI is at the core of how we build. AI-assisted development, LLM-powered features, intelligent automation across the platform. We want engineers who work this way naturally and quietly raise the bar for everyone around them.
If you reverse-engineer a gnarly production bug for fun, prototype three approaches before lunch, and reach for AI tooling to move 10x faster you'll feel at home here.
What you'll do
Own features and services end to end design, build, ship, and keep them healthy
Write high-quality Python that holds up under real production load
Use AI coding assistants and LLM-based tools as part of your daily workflow and help build AI into our products
Work across a modern stack: SQL, OpenSearch, Redis, MongoDB
Build scalable, event-driven solutions on AWS (Lambda, EventBridge)
Be the person the team turns to when something is genuinely hard
What we're looking for
Solid experience shipping and owning production systems
Strong Python, with a focus on performance and scalability
Strong SQL + hands-on with OpenSearch / Redis / MongoDB
Hands-on AWS experience (Lambda, EventBridge)
Fluency with AI-assisted development tools
A relentless problem-solving instinct
Nice to have
AWS certification (e.g., AWS Certified Developer)
Docker / Kubernetes
Experience building LLM or ML-driven features in production
Side projects or open-source you built just because the problem was interesting
