Staff Software Engineer (Patient Onboarding)

Join Rula's Patient Onboarding team as a Staff Software Engineer. In this role, you will lead complex initiatives, improve the foundations of our team, and help other engineers move faster through strong technical direction and modern AI-enabled development practices. You will have the opportunity to improve a critical part of Rula's patient experience while shaping the systems and engineering practices that help us connect more people to care. This position offers remote work, competitive benefits, and the chance to make a meaningful impact in the healthcare industry.

• Lead complex initiatives across product areas, improving the foundations the team builds on, and helping other engineers move faster through strong technical direction.
• Influence technical direction across functions or teams, including communicating tradeoffs and driving alignment with Product, Design, Data, or other engineering teams.
• Lead technically complex projects from problem definition through design, implementation, launch, and production support.

• Experience working on high-impact user journeys such as onboarding, checkout, registration, eligibility, payments, marketplaces, or other conversion-critical workflows
• Demonstrated experience influencing technical direction across functions or teams, including communicating tradeoffs and driving alignment with Product, Design, Data, or other engineering teams
• Demonstrated experience leading technically complex projects from problem definition through design, implementation, launch, and production support
• Hands-on experience using AI-assisted software development tools (such as Claude Code) as part of regular engineering workflows
• 8+ years of professional software engineering experience, including experience operating at Staff-level scope or leading complex initiatives across multiple teams or systems
• Strong full-stack engineering experience building and maintaining production web applications, with depth in modern frontend frameworks, backend APIs, data modeling, and distributed systems
• Experience building AI-powered engineering workflows, tooling, or automation that was adopted by others and measurably improved development speed or quality
• Experience in healthcare, insurance, fintech, or another regulated domain where reliability, privacy, and complex business rules materially influence system design
• Experience using product, operational, or funnel data to identify technical opportunities and evaluate whether engineering investments produced the intended outcome
• Demonstrated ability to improve engineering leverage across a small team through tooling, documentation, shared architecture, or reducing concentrated system knowledge