Senior Software Engineer

About Oler Health

We build the software that runs skilled nursing facility (SNF) operations. Billing, case management, and the mountain of referral and clinical documents that move patients through post-acute care. It's a domain most engineers never see, and it's full of genuinely hard, high-leverage problems: pulling structured data out of messy faxed PDFs, reconstructing Medicare stays from incomplete records, and extracting key information from EMR records and surfacing it at the right time. The work directly affects whether facilities get paid correctly and whether patients are placed quickly.
We're a small, senior team. You'd be one of our first few engineers, with real ownership from day one.
What you'll work on
You'll work across the stack and pick up problems wherever they're most valuable, but the surface area includes:

Backend: Python/Django services on GCP (Cloud Run, Cloud SQL/Postgres, BigQuery, Pub/Sub)
Frontend: React/TypeScript product surfaces that billing and clinical staff use every day
Document intelligence: ML models and pipelines that extract structured data from clinical and referral documents
Data engineering: billing attribution pipelines (PDPM/Medicare/Medicaid), analytics, and the dbt-style transformation layers underneath them

What we're looking for

A strong generalist who can own a problem end to end, from ambiguous spec to shipped feature
Solid fundamentals in at least one of our core areas (backend, frontend, data, or ML), and the curiosity to work outside it
Comfort operating with little process and high autonomy. We are an early stage team.
Bonus: healthcare, document processing, or data-pipeline experience, though we'll teach the domain to the right person

How we work

We lean hard on AI coding tools, and our view is that they raise the bar rather than lower it. The engineers who do well here use them to move fast and read every line with calibrated skepticism. They know when the model is confidently wrong and they own the output as their own. If "the AI wrote it" is ever your explanation for a bug, this isn't the right fit. If you find that the tools let you take on bigger problems than you could before, you'll fit right in.