Staff Software Engineer - Patient Onboarding (Remote)

We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms.

We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. 

We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare.

Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii.

We are seeking a Staff Software Engineer to join Rula’s Patient Onboarding team, which owns the journey from a person’s first interaction with Rula through registration, insurance verification, and successfully getting started with care. You’ll be a hands-on technical leader, writing code while leading complex initiatives across product areas, improving the foundations our team builds on, and helping other engineers move faster through strong technical direction and modern AI-enabled development practices.

Our collaborative team moves quickly, works closely with Product, Design, and Analytics, and gives engineers meaningful ownership over both what we build and how we build it. This role offers 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.

• 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.

• 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.

While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement.

• 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