Our Mission Culture At Xealth, we’re revolutionizing healthcare by leveraging data and automation to empower care providers—building on EHRs such as Epic and Cerner—to seamlessly prescribe, deliver, and monitor digital health for patients. We are a detail-oriented team committed to maintaining high standards while moving with agility and impact. We are looking for a Director of Engineering to help lead our engineering organization as we scale our digital health platform.

This is a hands-on leadership role for someone who has grown up as a strong individual contributor and evolved into a leader who can set technical direction, build and mentor high-performing teams, and drive engineering execution in a fast-moving healthcare SaaS environment. The Role We are looking for a Director of Engineering to help lead our engineering organization as we scale our digital health platform. This is a hands-on leadership role for someone who has grown up as a strong individual contributor and evolved into a leader who can set technical direction, build and mentor high-performing teams, and drive engineering execution in a fast-moving healthcare SaaS environment.

What We'Re Looking For

Required Engineering Background 10+ years of professional software engineering experience, with demonstrated depth as a hands-on engineer before moving into leadership Track record of leading engineering teams (5-25+ engineers) through significant growth or complexity Strong leadership and communication skills — able to influence, align, and motivate teams as well as communicate clearly with executives and non-technical partners Technical Expertise Deep understanding of AWS and cloud-native architecture, with direct experience designing and operating highly scalable, resilient distributed systems Experience with modern software architecture patterns (microservices, event-driven systems, API design) Comfort operating in a security- and compliance-conscious environment AI Fluency Genuine enthusiasm for AI as a force multiplier in the software development lifecycle — not just familiarity, but hands-on experience integrating AI coding tools, agentic workflows, or LLM-based tooling into engineering practice Ability to evangelize and operationalize AI adoption across an engineering organization, balancing productivity gains with code quality and security Preferred Experience in SaaS, ideally in healthcare or another regulated industry Familiarity with healthcare data standards (FHIR, HL7) or EHR integration ecosystems Experience with HIPAA compliance and healthcare data security

Requirements

Background scaling engineering orgs at high-growth startups How We Work Hybrid in Seattle — we value in-person collaboration and flexibility in equal measure Infrastructu