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Rula is seeking a Staff Software Engineer to join the Patient Onboarding team, which owns the critical journey from first interaction through registration, insurance verification, and care initiation. You will be a hands-on technical leader—writing code while leading complex initiatives across product areas, improving foundational systems, and helping other engineers move faster through strong technical direction and modern AI-enabled development practices.
The Patient Onboarding team is collaborative and moves quickly, working closely with Product, Design, and Analytics. Engineers have meaningful ownership over both what gets built and how it gets built. This role offers the opportunity to improve a critical part of Rula's patient experience while shaping the systems and engineering practices that help connect more people to mental healthcare.
Rula is a remote-first, Series C-funded healthtech company focused on addiction treatment and mental health. The company believes mental health is as important as physical health and aims to destigmatize mental healthcare through evidence-based, compassionate care.
RESPONSIBILITIES:
- Write code and lead complex technical initiatives across product areas
- Improve foundational systems and engineering practices
- Provide strong technical direction to help other engineers move faster
- Lead technically complex projects from problem definition through design, implementation, launch, and production support
- Influence technical direction across functions and teams, communicating tradeoffs and driving alignment with Product, Design, Data, and other engineering teams
- Work on high-impact user journeys critical to conversion and patient experience
REQUIREMENTS:
- 8+ years of professional software engineering experience, including 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
- Demonstrated experience leading 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
- Hands-on experience using AI-assisted software development tools (such as Claude Code) as part of regular engineering workflows
PREFERRED QUALIFICATIONS:
- 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
