Pylon Generalist Software Engineer(s) at Pylon building a vertically integrated mortgage platform. Work on complex software engineering challenges in a high-performing team.
Qualification
Don't settleHave great ideasAre self-motivatedAre comfortable with ambiguityAre confident you can learn quicklyLove strong typingBuilding a CRUD appA ChatGPT wrapper
Required
Have strong opinions that you’re willing to defend. We have a culture of vigorous discussion and debate on technical decisions. We’ll push you to defend your choices, and we want you to push back.
Don't settle. Challenge yourself to frequently and consistently deliver exceptional code. If something could be better, take the initiative to improve it.
Have great ideas, and lots of them. You should see opportunities all around you to make the code, product and infrastructure better. We’ll give you an environment where you can act on those ideas.
Are self-motivated. You can take a goal and drive towards it without needing extensive hand-holding. The team is supportive and loves to share knowledge and advice, but there’s no time for micromanaging your work.
Are comfortable with ambiguity. There's a million ways to do things; you should feel at ease making a decision under uncertainty while balancing competing constraints.
Are confident you can learn quickly. Mortgage is complex, our platform is complex, good software engineering is complex. You’ve got to have an attitude that you can absorb it, get on top of it, and build something better than what came before.
Love strong typing. We're a team full of people who love Haskell and Rust (and Idris!) and take pride in pushing Typescript to its limits.
Building a CRUD app:
We’re building a platform that’s only possible due to deep technology investments and thinking hard from first principles. Cargo-culting what’s come before won’t be sufficient.
If you’re looking to do mostly plumbing / lego piece assembling, Pylon may be very frustrating for you
A ChatGPT wrapper:
Mortgage is a sprawling mess of problems, and there isn't one tool that solves every one of them. We use LLMs, but we've reached for tools in multiple disciplines like mixed-integer linear optimization and programming language research.
