Software Engineer, Automations

Scan.com•Atlanta, GA

2d•Hybrid

About The Position

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.

Requirements

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 hundreds of target systems, thinking in templatized architectures rather than one-off builds
Comfort navigating stakeholder relationships to secure system access and technical cooperation from external partners

Responsibilities

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