Build the data foundation behind financial products used by credit unions and their members.AI agents are part of our engineering workflow, not an experiment. They handle meaningful implementation work; engineers set direction, review the output, and own what ships. You will use our agents, improve them, and help build what comes next.
What you'll do- Own data-heavy features from design through production, planning pragmatic solutions for rising traffic and data volume.
- Improve data models, pipelines, migrations, and multi-tenant systems.
- Work in our TypeScript monorepo with Hono, Drizzle/Postgres, and AWS infrastructure managed with SST/Pulumi across Lambda, SQS, EventBridge, and S3. Experience with Terraform, AWS CDK, or similar tools transfers well. You may also touch React 19 and React Router 7 when work crosses into the product.
- Monitor production, investigate issues, and fix root causes.
- Help the team make clear, practical technical decisions.
What you bring- 5+ years building, scaling, and running production software.
- Strong backend engineering skills in a typed language, including experience integrating third-party and public APIs such as OpenAI or Anthropic Claude.
- Experience with relational data modeling, migrations, and production data systems.
- Sound judgment when working with sensitive data and high-impact changes.
- Current, hands-on experience using AI coding tools and reviewing their output.
- Clear written communication, product sense, and comfort owning work end to end.
Experience with TypeScript, Postgres, serverless AWS, or event-driven systems is useful; exact framework overlap is not required.
If you enjoy turning complex data problems into simple, dependable systems - and want to help define AI-native engineering - we'd love to hear from you.
