The opportunity
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.
What you'll do
Automate everything: Eradicate manual, repetitive, and unscalable work. You will view infrastructure challenges as software problems, building automation and tooling that accelerates R&D.
Drive architectural evolution: Plan, design, and execute generational changes to Fin’s core infrastructure. You will navigate complex scaling challenges and build elasticity into our systems.
Deliver operational excellence: Own the reliability of our core services. You will respond to operational events, dig deep to understand why they happened, and engineer permanent, preventative solutions.
Be full stack: When there is an issue, you don’t stop at the infrastructure layer. You dive deep into our application code to trace problems out to the edge and fix customer-facing issues.
Force-multiply through enablement: Abstract away shared concerns like security, compute, availability, and costs, so product engineers don't have to think about them. You'll scale your expertise through exceptional, easy-to-use agent skills, documentation, and reliable defaults.
Raise the bar: Hold yourself and your teammates accountable with deep empathy. Share your domain expertise, review code quickly, unblock your peers, and foster a culture of continuous learning and support.
What they're looking for
- Ship production-grade systems: Independently lead complex initiatives, owning the design, implementation, testing, and operational runbooks for high-impact infrastructure projects.
- Build AI-native leverage: Treat AI as a primary tool for getting work done, using coding agents to automate infrastructure work, and building agent skills, tooling, and reliable defaults that let every engineer at Fin apply that same leverage safely. You'll look for the toil that AI should eliminate before a human ever touches it.
- Cloud infrastructure expertise: Multiple years designing, building, and operating high-scale distributed systems and platforms in a cloud environment (ideally AWS), with accountability for availability, performance, and costs.
- Engineering rigor: Deep knowledge of modern programming languages with infrastructure-as-code as a nice to have. You have a track record of treating infrastructure as a software engineering discipline.
