Job Description
HealthMark Group helps hospitals, health systems, and clinics manage health information—specifically the release of patient records and administrative processes that were historically manual, paper‑heavy, and slow.
We are a mid‑sized company in a transformation phase: modernizing legacy systems, building new products, and automating workflows that used to require rooms full of people. If you want to build things that matter (not just maintain them), this is a good time to join.
The Role
We are hiring a Senior Software Engineer to help design, build, and evolve our Interoperability platform, the systems responsible for securely retrieving patient records from EHRs and external healthcare systems using FHIR based APIs and related interoperability standards.
This role is central to supporting HealthMark’s Release of Information (ROI) services. You will work on services that locate, retrieve, normalize, and deliver patient data at scale, ensuring reliability, auditability, and compliance in a complex healthcare ecosystem.
You will work across modern services and legacy integrations, collaborating with a small, highly engaged team in a fully remote environment. This is not a role where you’re handling detailed specs and told to execute—we’re looking for someone who can reason through ambiguous interoperability problems, propose pragmatic solutions, and take them all the way to production.
You will have meaningful influence over architecture and technical direction, particularly as we expand our FHIR footprint and modernize how patient data flows through our platform.
AI tools are part of how we build software here. We use AI‑assisted development daily—not as a novelty, but as a core part of our engineering workflow. We are looking for someone who already works this way and wants to push further.
What You Will Do
- Design, build, and maintain backend services and APIs running on AWS, with an emphasis on scalability, reliability, and secure handling of sensitive data.
- Build and evolve high-throughput data workflows (identity matching, record discovery, retrieval, and delivery) using event-driven architectures and resilient integration design.
- Integrate with external healthcare systems, EHR vendors, and health information networks using FHIR and RESTful APIs.
- Design asynchronous integration patterns using queues/topics and robust retry/error-handling strategies (e.g., SQS/SNS).
- Deploy and operate AWS resources using Infrastructure as Code (e.g., Terraform, CloudFormation, or CDK) and repeatable environments across dev/test/prod.
- 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 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.
Experience:
- 6+ years of professional software development experience, with growth in the complexity and scope of problems you’ve 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
- Strong hands-on experience designing, deploying, and operating workloads on AWS (compute, networking, storage, databases, observability) in production.
- 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 unit, integration, and end-to-end testing
- Experience deploying and operating services in AWS
- Proficiency with CI/CD and DevOps practices
- AWS certification (e.g., Cloud Practitioner, Solutions Architect, Developer, or DevOps Engineer) preferred; equivalent demonstrated AWS expertise considered.
AI Assisted Development
- 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.
Nice to Have
- Healthcare domain experience, including HIPAA-compliant patient data handling and audit-ready data practices.
- Deep experience with event-driven and asynchronous workflows in AWS (e.g., SQS/SNS, Lambda, and durable retry/idempotency patterns).
- Hands-on production experience with additional AWS services (e.g., API Gateway, EventBridge, Step Functions, ECS/EKS, DynamoDB).
- Strong grasp of observability and operations for distributed systems (metrics, logs, tracing, alerting, and incident response).
- History of leading technical projects or initiatives (ownership, delivery, and cross-team influence).
- Experience with agentic AI workflows—letting AI tools operate with more autonomy while you supervise, review, and direct.
How You Work
- You own outcomes, not just tasks—if something isn’t working, you fix it or raise it.
- You make decisions with incomplete information and adjust when you learn more.
- You communicate clearly to different audiences—engineers, product, and leadership.
- You are open to feedback and can give it constructively to others.
- You have opinions and share them, but you can disagree and commit when the team goes a different direction.
- You see problems beyond your immediate work and do something about them.
- You make other engineers better—through code review, pairing, or by being someone people learn from.
- You treat AI tools as a multiplier, not a crutch—you understand the code you ship regardless of how it was generated.
- You are comfortable working remotely and managing your own time.
Why This Might Be Interesting
- You will work on real world healthcare interoperability problems, not toy examples or greenfield demos
- Your work directly supports how patient records are retrieved and delivered for Release of Information requests
- You will help shape a growing FHIR based interoperability platform with real scale and impact
- You will have real ownership and influence over technical direction
- Small team means your contributions are visible and valued
- You will work in a shop that takes AI assisted development seriously—as a daily practice, not a buzzword
- Remote first, results focused culture that values outcomes over optics