Software Engineer, Automations

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We're Scan.com , 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, Automations 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. WHAT YOU WILL BE GETTING INVOLVED IN Reporting to Will, our Chief Technology Officer, you'll sit at the intersection of engineering and operations, building the automation layer that connects us to external providers. Your primary focus will be designing and deploying solutions that connect with third-party systems to enable scenarios like document transfer. This is a high-impact, high-autonomy role that directly drives operational efficiency and patient throughput across our national network. 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: Design, build, and maintain automations that extract data from legacy physician platforms and trigger downstream patient scheduling workflows Navigate a diverse landscape of legacy systems, building resilient scraping and data extraction logic that handles UI inconsistencies across vendors Develop robust error handling and exception management architecture, including structured exception queues, retry logic, alerting, and human-in-the-loop escalation workflows Build data validation and reconciliation layers that verify the accuracy of data transferred between systems, preventing downstream issues like patient mismatches and documentation errors Partner with operations, engineering, and external partners to gather requirements, understand system stability needs, and plan for solution nuances. Document all workflows, decision logic, edge cases, and process maps with the explicit goal of creating the foundation for future agentic AI automation THE TOP 5 THINGS WE WANT YOU TO ACHIEVE IN YOUR FIRST YEAR ARE Live integrations running reliably across a significant portion of our providers, with measurable reduction in manual data entry A scalable, templatized bot architecture is in place that enables new integrations to be deployed in days, not weeks Exception handling and monitoring infrastructure that maintains 99%+ data accuracy between external systems and Scan.com 's product, with clear escalation paths for failures Comprehensive documentation of every integrated workflow, decision tree, and edge case, creating a ready-made knowledge base for the transition to agentic AI automation A clear technical roadmap, built in partnership with the CPO and CTO, for evolving from a deterministic solution to intelligent automation as the company scales WHAT YOU MIGHT BRING TO THE TABLE: You don't need to tick all the boxes to apply for this role. Whether it's your first role or your fifth role, we believe everyone can add value, learn, and grow. However, these might be some of the ways you are currently adding value: Production experience with platforms such as UiPath, Automation Anywhere, or Power Automate. Proficiency in Python or similar languages for scripting, data transformation, and extending workflows beyond what native rolling supports. An API-first mindset paired with pragmatism: you default to HL7, FHIR, or direct API integration where available, but know when and how to fall back to UI automation Hands-on familiarity with navigating healthcare platforms, with an understanding of how appointment scheduling data is structured and surfaced across different vendor UIs Strong skills in data extraction from unstructured or inconsistent user interfaces, including building resilient selectors that survive updates. A track record of designing robust error handling and exception management systems, including retry logic, alerting, and structured escalation workflows rather than automations that silently fail Experience building data validation and reconciliation processes that confirm accuracy across systems Strong documentation habits and a mindset oriented toward building for handoff, understanding that your work today creates the foundation for agentic AI automation tomorrow A testing mindset applied to automation: you write tests for your automations, and validate outputs systematically, and don't consider a workflow done until failure modes are covered Experience managing automation portfolios across dozens or

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