• Lead full stack development across front end and back end systems supporting federal copyright modernization workstreams • Plan and execute technical roadmaps independently, without explicit direction from technical supervisors • Serve as the primary technical lead for your workstream, proactively communicating progress, risks, and tradeoffs to stakeholders • Elaborate on and evolve complex, ambiguous systems to surface constraints and uncover new opportunities • Reduce technical ambiguity through documentation, refactoring, and automated testing practices • Advocate for sound technical solutions in planning sessions, communicating tradeoffs clearly to both technical and non-technical audiences • Participate in technical depth interviews with prospective candidates • Support bid writing, tech demos, and client-facing communications by articulating system history, design decisions, and past performance • Periodically travel to collaborate with clients, partners, and stakeholders as needed

• Build the "Claude Code for Public Services". As a Principal Engineer you'll own features end-to-end across the whole stack: helping users wire up data sources into workflows, chat with AI agents to test their services against complex edge cases, spot anomalous behaviour at a glance in dynamic dashboards, and debug failing workflows in real time. • Write the pattern book. Set the technical vision for our UI architecture — state management, component patterns, build tooling, design system — and make the decisions that allow us to rapidly test new ideas and scale the ones that work. You'll partner closely with product and design to shape what gets built, not just how. • Raise the bar. You'll be the technical leader other engineers learn from. Set high standards through code review, architectural guidance, and your own work. Model what infrastructure-grade craft looks like in practice — the kind of engineering that governments can depend on.

• 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