Staff Software Engineer - Patient Matching (Remote)

Staff Software Engineer

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.

About The Role

We are looking for a Staff Software Engineer to join Rula's Patient Matching team. This team is focused on driving meaningful impact across the patient funnel. Our goal isn't to help patients find any provider, but to help them find the right provider: someone they trust, feel comfortable with, and want to continue care with. In practice, that means building and evolving the systems behind provider search, ranking, availability, eligibility, and booking experiences.

As a Staff Engineer, you'll play a central role in shaping this direction by bringing order to ambiguity, designing durable systems, and delivering software that directly impacts how patients experience care. You'll partner with your Engineering Manager, working closely with product managers, designers, clinicians, and other engineers to align technical decisions with patient and business outcomes. Beyond your own contributions, you'll amplify the effectiveness of the team by mentoring engineers, unblocking peers, and raising the technical bar across Rula.

We're looking for product-minded engineers who see problems, move quickly, and help the team build the right solution quickly. We expect engineers on this team to leverage AI-assisted development tools, including Claude Code, as a natural part of their workflow, not as a novelty. You're fluent with these tools and are keeping up with the developing landscape, forming opinions on where they add value and how to get the best out of them to improve velocity and decrease time-to-value.

Required Qualifications

• 8+ years of experience building and maintaining scalable, production-ready systems with measurable business impact.

• Strong expertise in API design, data modeling, and building systems that are reliable, maintainable, and performant.

• Advanced System Architecture Experience: Proven experience designing and evolving architectures with the ability to weigh tradeoffs and choose a suitable approach for the problem at hand.

• Technical Leadership: Proven ability to lead complex technical projects across teams, shaping scope, estimates, and execution while aligning technical decisions with business goals.

• Communication & Alignment: Excellent collaboration and communication skills with the ability to build consensus, surface risks early, and bring clarity to ambiguous problem spaces.

• Team Multiplier: Experience mentoring engineering teams, reviewing architectures, and raising the technical bar across organizations.

• AI-Assisted Development: Fluent with AI-assisted development tools (e.g., Claude Code) and able to articulate both where they accelerate delivery and where they introduce risk or require human judgment.

Preferred Qualifications

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.

• Degree in Computer Science or equivalent practical experience.

• Data-Intensive Systems: Experience with data-heavy ecosystems, including designing data pipelines, integrating data sources, or building systems that capture and analyze metrics.

• Modern Tooling: Familiarity with modern infrastructure and tooling.

• Production Reliability: Comfortable participating in on-call rotations, troubleshooting complex production issues, and advocating for reliability improvements.

• Startup Agility: Prior experience in early-stage and/or high-growth startup environments and comfortable navigating ambiguity while influencing evolving roadmaps

Our Team

We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.