Software Engineer, Integrations

We’re , the digital health scale-up making diagnostics accessible, fast, and transparent. Our technology speeds up diagnoses for timely treatments, improving healthcare outcomes for hundreds of patients each day.

We're doing diagnostics differently, with solutions tailored to both patients and providers, all backed by our technology and world-class customer operations team. Our B2C marketplace simplifies booking a scan, making it as straightforward for patients as booking a hotel. Our B2B platforms provide live scheduling at the point of care and harness AI to ease workflows for physicians, attorneys, and providers.

We're looking for a Software Engineer, Integrations at an exciting time. We've successfully launched multiple platforms and products, raised over $100M in VC funding, reached profitability, and have a growth trajectory of over 100% YoY.

's integration layer is mission-critical infrastructure. We interface with hundreds of imaging centers and health systems operating disparate, often decades-old systems — RIS platforms built on legacy protocols, HL7 v2 feeds with idiosyncratic vendor dialects, and hardware gateways running in constrained clinical environments. On the demand side, we connect to modern EHR APIs, third-party referral networks, and portal integrations that must work reliably at scale.

For this role, you will architect and build the systems that make the demand-side connections robust, observable, and extensible. This problem area requires genuine passion for system integration patterns, message transformation pipelines, and the operational discipline to maintain high-reliability infrastructure against the entropy of the real world.

As a scale-up business, you can expect your role to develop over time. Here are some of the types of things you could be getting involved in:

• Build and maintain integration connectors for modern and legacy EHR systems to retrieve physician referrals and relevant patient documentation.
• Architect fault-tolerant message queuing and delivery infrastructure for inbound and outbound HL7 and API traffic.
• Build and maintain REST API integrations with third-party referral sources, attorney platforms, and demand aggregators.
• Own the observability layer for the integration infrastructure: structured logging, alerting on message processing latency/failures, and dashboards that surface issues before they reach the operations teams.

• Deep domain ownership. Within 90 days, you have a complete mental model of our integration workflows — every active connector, its transport mechanism, its failure modes, and its monitoring coverage.
• Resilience uplift. You have identified and remediated the most critical reliability gaps in our referral pipeline. There is a measurable reduction in integration-related operational escalations.
• Scalable transformation architecture. You have designed or materially evolved our data workflows such that onboarding a new demand-side source is a simple choice from a menu of robust technical options.
• Observability in production. Every integration has structured alerting and a clear SLA. The operations team can self-serve on integration health without engineering involvement for routine issues.
• Shipped meaningful capability. At least two significant referral integration improvements. This can be new connectors that significantly increase referral volume, automations that improve quality, or infrastructure improvements. These improvements are live in production and have measurably increased referral volume, improved connection optionality, operational efficiency, and/or error rate.

You don't need to tick all the boxes to apply for this role. Whether it's your first role or your fifth, we believe everyone can add value, learn, and grow. However, these might be some of the ways you are currently adding value:

• Proven ability to integrate with legacy systems that were not designed for modern interoperability. For example, aging RIS platforms in radiology, core banking systems in fintech, or equivalent legacy infrastructure in…