> Markdown version of [/jobs/ext/565475-staff-software-engineer-full-stack-founding-team](https://www.wearedevelopers.com/jobs/ext/565475-staff-software-engineer-full-stack-founding-team). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Staff Software Engineer - Full-Stack, Founding Team

- **Company:** Annuity Health, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Code Review, Data Infrastructure, Python (Programming Language), TypeScript, Databricks
- **Published:** June 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5de739ffab72f73b

## About the Role

Do you have experience in Tooling?, * 7+ years building and shipping production full-stack software

 * Deep fundamentals: system design, testing discipline, and the code-review judgment to evaluate large volumes of generated code
 * Agentic coding tools are already your default - you can show your workflow and explain how it makes you measurably faster
 * A builder's disposition toward ambiguity: you'd rather define the problem and own the outcome than execute a spec someone else wrote

Nice-to-haves:

 * Healthcare, RCM, or EDI experience (835/837 transactions, payer workflows, denial management)
 * Hands-on Azure and/or Databricks experience
 * Experience with data-intensive systems - pipelines, large-scale file ingestion, event-driven processing

## Description

* Spec-driven development is the method. We turn problems into structured specs, decompose specs into vertical slices, and drive implementation from there. Specs are the source of truth that both humans and agents build against.
 * Agentic tools are the default. Claude Code or equivalent is how code gets written here, not an accessory. You should already write the majority of your code this way and have a personal workflow you can articulate and teach.
 * You own what ships, even when an agent wrote it. Speed comes from leverage plus judgment: thorough testing, real code review, and a high bar for what reaches production.
 * We work problems, not tickets. Engineers sit close to our users - the revenue cycle teams themselves - watch how the work actually happens, and reason from first principles about what to build.

The stack: TypeScript and Python on Azure, with Databricks as the data platform. You don't need deep experience in all of it - you need the fundamentals to come up to speed fast and the judgment to use it well.


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