Senior Software Engineer – AWS

🕒 Maio 8

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $120.000 - $140.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of HealthMark Group

HealthMark Group

501 - 1000 funcionários

⚕️ Seguro de Saúde

📋 Conformidade

Healthcare Insurance • Compliance • Technology

A HealthMark Group é uma empresa especializada no gerenciamento de prontuários médicos por meio de soluções digitais otimizadas. Eles se concentram na otimização da liberação de informações para hospitais e consultórios médicos, garantindo um serviço eficiente, compassivo e confiável para pacientes que solicitam seus prontuários médicos. Ao abordar os desafios das exigências regulamentares em evolução e da escassez de pessoal, a HealthMark visa melhorar a satisfação do paciente e reduzir o ônus das auditorias e revisões de prontuários para organizações de saúde.

Descrição

• 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.

🎯 Requisitos

• 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.

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