Nsight Health is transforming how care is delivered through Remote Patient Monitoring and Chronic Care Management. They are seeking a full-stack Software Engineer to develop their enterprise care management platform, focusing on clinical workflows, backend services, and HIPAA-compliant data handling.
Responsibilities:
- Maintain and extend core PRVNT features including patient chart, clinical dashboards, adherence workflows, billing ledger, SOAP notes, and assessment delivery
- Extend clinician and manager dashboards to surface actionable data without requiring staff to hunt for it
- Support automated delivery of clinical assessments such as PHQ-9 and GAD-7 via secure SMS
- Integrate with EHRs using HL7 FHIR and SFTP-based connections
- Improve async reliability across messaging, letters, and billing file generation through job queuing and retry logic
- Maintain Twilio short code messaging pipelines and extend billing capabilities including trending reports and CPT code attribution
- Implement and maintain nurse license validation including state-level checks, expiration tracking, and care access restrictions
- Ensure HIPAA-compliant data handling across all features and BAA-covered third-party integrations
- Use Claude Code and GitHub Copilot as active development partners daily
- Apply AI tooling to accelerate feature delivery, test generation, and documentation
- Track and improve AI output ratios as a measurable productivity metric
Requirements:
- 3+ years of full-stack software engineering in production environments with real features shipped in real codebases
- Frontend proficiency in React and TypeScript
- Backend proficiency in Node.js, Python, or comparable; ability to build APIs, services, and integrations without a scaffold
- Experience with async job queuing and event-driven architectures (Redis, BullMQ, SQS, or similar)
- Comfort working in a HIPAA-regulated environment with actual working knowledge of what it requires at the data and access layers
- Daily, demonstrated use of Claude Code, GitHub Copilot, or equivalent AI-assisted development tools
- Strong written communication; ability to document decisions and surface gaps in real time
- Familiarity with EHR integration patterns, HL7 FHIR, or SFTP-based data exchange
- Experience in healthcare or another regulated industry