• Turn ambiguous product problems into clear user flows, product behavior, edge cases, and success criteria. • Build and maintain scalable, modular, high-performance frontend code. • Review frontend implementation independently across UX, code quality, performance, accessibility, maintainability, and product correctness. • Define API contracts and backend expectations clearly. • Collaborate with backend engineers on architecture, data models, permissions, error handling, observability, and performance. • Use AI tools to accelerate prototyping, implementation, refactoring, testing, debugging, and technical exploration. • Critically review AI-generated output and stay accountable for correctness, maintainability, and product quality. • Balance speed, simplicity, performance, maintainability, and user experience. • Keep the end user, business impact, SEO, accessibility, and product quality in mind.

• Design, develop, and maintain HL7 interfaces (v2.x, v3, CDA, FHIR) between healthcare systems • Build and support integrations with EHR/EMR systems (e.g., Epic, Cerner, Allscripts) • Configure and manage integration engines (e.g., Mirth Connect, Rhapsody, Cloverleaf) • Analyze, transform, and map healthcare data formats and message structures • Troubleshoot interface issues, message failures, and data discrepancies • Implement data validation, error handling, and logging mechanisms • Ensure compliance with HIPAA and healthcare data security standards • Collaborate with clinical, technical, and vendor teams to define integration requirements • Support real-time and batch data exchange workflows • Maintain documentation for interfaces, mappings, and workflows

• Architect and maintain core features for high-scale native iOS applications • Evolve a scalable, modular architecture • Champion the development of critical location-based services • Optimize mobile application performance • Lead and automate the iOS deployment lifecycle • Collaborate with cross-functional teams to deliver high-quality features • Mentor and support fellow engineers

• This is a hands-on role for a developer who is AI-native and also comfortable with traditional tooling such as version control. • The work covers bug triage, security and error alerts, backlog tasks, and compliance needs. • You will help automate the business and support the development team. • Support the development team by automating repetitive internal tasks. • Build automation for internal processes, both inside engineering and across other departments. • Triage and clear the bug backlog, including bugs in AI-generated code. • Monitor and respond to internal security alerts and error alerts. • Work through backlog tasks and internal compliance requirements. • Build internal dashboards and reporting for the engineering team. • Write scripts and prompts; manage context and select the right model for each task. • Check the reliability of agent-generated and model-generated code before it ships.