Senior Software Engineer – AWS
Job Description:
- 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.
Requirements:
- 6+ years of professional software development experience, with growth in the complexity and scope of problems you have tackled.
- 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.
Benefits: