We’re looking for Software Engineers to help us build and operate the core infrastructure that powers Epsilon Health, composed of 3 major components: an ingestion pipeline, a data warehouse / pipeline and a distributed inference system.
You’ll work across the backend stack, designing services, evolving schemas, improving observability, and keeping production healthy. This isn’t a role where you’ll own a single microservice. We expect you to understand how the pieces fit together, make thoughtful architectural decisions, and leave the system simpler than you found it.
We don’t have a separate SRE organization. Reliability, operations, debugging, and capacity planning are part of engineering here. As Epsilon Health grows, one of your most important jobs will be making sure the backend grows without becoming unnecessarily complicated.
You’ll be working closely with the ML team, lending a hand on ML infrastructure when priorities demand, and you’ll do well here if you like owning ambiguous, high-impact problems end to end.