Healthcare Full Stack Developer - Automation & Application Development

Role Summary

Key Responsibilities

• Design and develop application enhancements, bespoke solutions, and new features for imaging and clinical applications across the full stack front end (HTML/CSS/JavaScript, React or Angular) and back end (.NET/C# services and APIs).
• Build and maintain REST and SOAP API integrations, data transformation utilities, and application middleware that connect imaging platforms (PACS, RIS, VNA), EHR systems, and ancillary applications.
• Design, build, and deploy UiPath automation workflows attended and unattended to streamline clinical operations, administrative processes, and IT operational tasks within the healthcare environment, using UiPath Studio, Orchestrator, and Reframe work.
• Integrate UiPath bots with PACS, EHR, RIS, and reporting systems via APIs and UI automation implement robust exception handling, logging, alerting, and bot lifecycle management for all production RPA deployments.
• Conduct automation opportunity assessments and process discovery exercises produce Process Definition Documents (PDDs) and Solution Design Documents (SDDs) to support stakeholder alignment and development scoping.
• Create custom reporting and analytics solutions including dashboards and operational KPIs using Power BI, SSRS, or equivalent BI tools develop monitoring and observability components including health checks and custom alerts.
• Own end-to-end SDLC execution for all assigned work items: requirements analysis, design, build, unit testing, integration testing, UAT support, deployment readiness, and post-go-live hyper care.
• Actively participate in agile sprint ceremonies sprint planning, backlog refinement, daily standups, sprint demos, and retrospectives and consistently deliver work items within committed sprint boundaries.
• Follow and enforce engineering best practices across the team: code review, Git-based version control with disciplined branching and commit hygiene, standards compliance, and unit and component testing.
• Support security and compliance enhancements in all developed applications and automations, including HIPAA-aware PHI handling, access controls, and audit logging.
• Produce engineering documentation, technical specifications, runbooks, and release notes ensure deployment and rollback readiness for every release.
• Participate in innovation pilots and proof-of-concept development evaluate emerging tools, automation frameworks, and development patterns relevant to the healthcare imaging domain.

Required Qualifications

• 8 to 10+ years of professional software development experience with strong, production-proven .NET/C# and JavaScript full stack skills.
• Solid command of REST APIs, JSON/XML data handling, SQL, and integration patterns for both application and reporting development needs.
• Hands-on UiPath development experience (Studio, Orchestrator, REFramework) with production-deployed automations in enterprise environments UiPath RPA Developer or Advanced Developer certification strongly preferred.
• Demonstrated ownership of end-to-end SDLC delivery within agile/sprint frameworks from requirement intake through deployment and hyper care, not just the coding phase.
• Experience with Git-based version control and agile delivery tools (Jira, Azure DevOps, or similar) familiarity with CI/CD concepts and release pipeline practices.
• Experience building automation utilities and BI/reporting deliverables (Power BI, SSRS, or similar).
• Prior healthcare or regulated-industry development experience with HIPAA-aware handling of PHI in application code and automation workflows.

Preferred Qualifications

• Exposure to imaging and clinical systems (PACS, RIS, LIS, EHR) and conceptual familiarity with HL7/FHIR/DICOM integration patterns.
• UiPath Document Understanding or AI Center experience for intelligent document automation and clinical data extraction.
• Power Automate as a complementary automation platform cloud development experience (Azure or AWS) and containerization familiarity.
• Experience in managed services delivery models with SLA accountability and hyper care support obligations.
• Performance optimization experience for .NET applications and SQL queries handling large clinical or imaging datasets.