Senior Full-Stack Engineer
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In this role, you will build these partner-facing surfaces and the core APIs powering them—ranging from embeddable widgets, preview applications, and booking flows to SDKs and remote MCP servers.
AI-Native Culture: This is a hands‑on, AI‑native engineering role. You will leverage coding agents and reusable AI skills daily to ship high‑quality, secure code at an accelerated pace.
- Embeddable Surfaces: Build embeddable widgets using Web Components / iframes featuring style isolation, CSP compatibility, postMessage communication protocols, and strict versioning.
- Core Application & UX: Develop WCAG 2.1 AA-compliant questionnaire and booking flows, white-label theming systems, and partner preview environments.
- Backend & API Architecture: Implement Python services and REST API endpoints based on shared OpenAPI contracts, managing multi-tenancy and partner authentication.
- Developer Experience & SDKs: Generate client SDKs from OpenAPI specs, write developer documentation, and build partner sandbox environments.
- Security & Compliance: Ensure strict handling and protection of Protected Health Information (PHI) .
- Quality & Operations: Write unit, integration, and E2E tests, ship continuously through CI/CD pipelines, monitor production applications, and participate in incident response.
- Experience: 6+ years of full-stack engineering experience shipping production web applications.
- Embeddable Tech Stack: Proven experience building embeddable widgets, third-party Web Components, or SDKs running inside partner products.
- Core Tech Stack: Strong TypeScript + React on the frontend, and Python (e.g., FastAPI ) for backend services.
- Web Platform Mastery: Deep understanding of Custom Elements, Shadow DOM, iframe sandboxing, Content Security Policy (CSP), and postMessage.
- API & Auth: REST API design with OpenAPI (including SDK generation). Practical knowledge of OAuth 2.0, OIDC, and SSO .
- Healthcare & Compliance: Direct experience working with PII and/or PHI under HIPAA regulations .
- AI Tooling: Daily proficiency with AI coding tools (e.g., Claude Code ) combined with strong technical judgment for security and testing.
- Ownership Mindset: Focus on driving features to landed and monitored in production, not just merged.
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