Software Engineer, Backend

You’ll build backend systems that make our lab programmable. You'll architect data pipelines that process large-scale protein characterization data, build APIs that integrate laboratory instruments and robotics into our software stack, and work closely with scientists and automation engineers to translate complex molecular biology workflows into reliable, scalable software. This is not SaaS slop, you're making physical machines do precise biology with minimal human intervention.

What we're looking for

Strong experience designing and building production backend systems. We use Python and TypeScript on the backend with Postgres, but what matters is that you can architect systems that are reliable and maintainable.

Experience building data pipelines and processing infrastructure. You'll be handling large volumes of heterogeneous data from physical instruments such as binding kinetics data, enzyme activity measurements, chromatography readings, and turning them into clean, structured datasets.

Comfortable with API design and systems integration. A big part of this role is making hardware talk to software: connecting instruments, robotics, and scheduling systems into a coherent whole.

A genuine interest in biology. No background required, but our product is running biology experiments in the physical world and that should excite you.

High-autonomy, founder mindset. We share context and vision openly. You figure out what matters most and go work on it.

Pragmatism. You care about solving the problem well, not about the stack or the tools.

You write code primarily with AI, but you have enough experience writing software without it to know what good code and good architecture look like.

Application deadline

We are reviewing applicants on a rolling basis.