Rula Staff Software Engineer to lead development of scalable referral pathways and patient booking experiences. Responsible for designing durable systems and mentoring engineers to improve referral management and partner data systems.
Responsibilities
We’re looking for a Staff Software Engineer to join our Partnerships Referrals & Conversions engineering team. This team is focused on managing patient referrals including building scalable referral pathways for partners and referral-centric patient experiences. You will build and evolve systems behind referral management, partner data management, and patient 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 partners refer patients to Rula and how those patients experience care. As a technical leader, you’ll partner with your Engineering Manager, working closely with product managers, designers, and other engineers to align technical decisions enabling Rula to deliver mental health care to our partners’ members. 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.
Qualification
Bachelor’s degree in Computer Science
Required
8+ years of related professional experience
Deep understanding of modern application design architecture, good API design patterns, security, performance, and scaling.
Experience designing and evolving system architectures with the ability to weigh tradeoffs and choose a suitable approach for the problem at hand.
Proven ability to lead complex technical projects across teams, shaping scope, estimates, and execution while aligning technical decisions with business goals.
Excellent communication skills and the ability to build positive relationships with partners and stakeholders
Fluent with AI-assisted development tools (Claude Code, etc.) and able to articulate both where they accelerate delivery and where they introduce risk or require human judgment.
Preferred
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.
Bachelor’s degree in Computer Science, related field, or comparable work experience.
Familiarity with modern infrastructure and tooling.
Experience with distributed systems development, especially using an event-based paradigm.
Experience building systems to interface or directly integrate with 3rd parties.
Comfortable troubleshooting complex production issues and advocating for reliability improvements.
Prior experience in early-stage and/or high-growth startup environments and comfortable navigating ambiguity while influencing evolving roadmaps.
We're serious about your well-being! As part of our team, full-time employees receive:
