
501 - 1000 employees
⚕️ Healthcare Insurance
📋 Compliance
Healthcare Insurance • Compliance • Technology
HealthMark Group is a company that specializes in managing medical records through streamlined digital solutions. They focus on optimizing the release of information for hospitals and physician practices, ensuring efficient, compassionate, and reliable service for patients requesting their medical records. By addressing the challenges of evolving regulatory requirements and staffing shortages, HealthMark aims to improve patient satisfaction and reduce the burden of audits and chart reviews for healthcare organizations.
🕒 March 20
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501 - 1000 employees
⚕️ Healthcare Insurance
📋 Compliance
Healthcare Insurance • Compliance • Technology
HealthMark Group is a company that specializes in managing medical records through streamlined digital solutions. They focus on optimizing the release of information for hospitals and physician practices, ensuring efficient, compassionate, and reliable service for patients requesting their medical records. By addressing the challenges of evolving regulatory requirements and staffing shortages, HealthMark aims to improve patient satisfaction and reduce the burden of audits and chart reviews for healthcare organizations.
• Design, build, and maintain backend services and APIs that retrieve and process patient records from EHRs and health systems using FHIR (R4) and related interoperability standards. • Build and evolve interoperability workflows that support Release of Information (ROI) use cases, including patient identity matching, record discovery, data retrieval, and downstream delivery. • Integrate with external healthcare systems, EHR vendors, and health information networks using FHIR, RESTful APIs, and event driven patterns. • Work across modern .NET services and existing platforms, modernizing legacy integrations where appropriate. • Own technical roadmaps for interoperability components—balancing reliability, scalability, compliance, and delivery speed. • Use AI coding tools daily to accelerate development— generating code, debugging, refactoring, and navigating unfamiliar healthcare focused codebases. • Review AI generated output with the same rigor applied to any production code—understanding what it produces, not just accepting it. • Write clean, testable, well documented code with a strong emphasis on observability and operational readiness. • Lead code reviews and help maintain engineering standards across backend services and integrations. • Debug and resolve issues across distributed systems, including third party integrations and external dependencies. • Collaborate with product, operations, and compliance teams to translate healthcare and ROI requirements into technical solutions. • Identify risks related to data quality, external system dependencies, and interoperability constraints before they become incidents. • Mentor other engineers, particularly around healthcare integrations and backend service design.
• 6+ years of professional software development experience • Strong proficiency in the Microsoft stack (C#, .NET Framework / .NET 6+, ASP.NET Web API, ASP.NET MVC, Entity Framework, SQL Server) • Experience building and operating API driven, distributed systems in production environments. • Direct experience with healthcare interoperability, particularly FHIR based integrations. • Solid understanding of relational data modeling, SQL performance, and data consistency in integration heavy systems • Experience integrating with third-party systems where reliability, error handling, and observability are critical. • Demonstrated automated testing practices across units, integration, and end-to-end testing. • Fluency with Git and collaborative development workflows • Experience deploying and operating services in AWS or Azure • Proficiency with CI/CD and DevOps practices • Bachelor’s degree in CS or related field, or equivalent hands-on experience • Active, daily use of AI coding tools integrated into your development workflow— not just asking a chatbot occasional questions but using AI as a core part of how you write, review, and ship code. • Ability to critically evaluate AI generated code for correctness, security, and maintainability. • Experience providing AI tools with meaningful context (codebase access, architecture constraints, project conventions) to get higher quality output. • At ease in a workplace where AI-supported delivery is the standard rather than a choice.
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