Senior Full Stack Engineer
Core
Building a greenfield end-to-end platform for AI-powered ultrasound analysis in professional sports, serving clinicians and team staff to review images, annotate findings, and generate reports.
Role type
Senior Full Stack Engineer (Medical Imaging/AI)
Builds
Cloud-based web platform with Django backend, React/Vue/Svelte frontend, and integrated medical image viewers (DICOMweb, OHIF, Cornerstone3D) for longitudinal athlete tissue health analysis.
Domain
Sports medicine, AI, and medical imaging (Ultrasound/DICOM)
Required skills
Python, Django, Django REST Framework, PostgreSQL, React/Vue/Svelte, TypeScript, Cloud Infrastructure, OpenAPI, Security (multi-tenancy, auth tokens), AI-assisted development tools
Preferred skills
DICOM/PACS/OHIF/Cornerstone3D, Infrastructure-as-code, CI/CD, Health data privacy/regulatory architecture, Event-driven backends, Data visualization for time-series metrics
Technologies
Django, Django REST Framework, PostgreSQL, React, Vue, Svelte, TypeScript, OpenAPI, DICOM, DICOMweb, OHIF, Cornerstone3D, Cloud, CI/CD, Claude Code, Cursor
Responsibilities
Design and implement strict multi-tenancy with row-level isolation and service-layer ownership checks. Build the device upload workflow including presigned URLs, clip handling, and sampling-stream routing. Validate auth tokens for web users and device paths, supporting MFA and role-based access. Persist canonical annotation and report records, expose read APIs, and dispatch analysis jobs to ML services. Build the web frontend architecture, UX/UI for image review and annotation, and a Team Command Center dashboard. Embed web-based medical image viewers with DICOM interoperability. Create org-admin provisioning interfaces and shape technology choices.
Seniority
Senior, hands-on IC reporting to CTO