Job Summary
We need a senior engineer to own the cloud dashboard and backend the customer-facing portal that displays live video streams, AI detection overlays, algorithm configuration, alerts, and multi-site management. You'll work alongside the lead engineer (edge AI / hardware) and two junior ML engineers (model training).

What You'll Build

- Central dashboard matching our Figma designs (multi-camera grid views 1x1, 2x2, 2x3, 3x3)
- Real-time video display via WebRTC (go2rtc integration)
- Detection overlay rendering (bounding boxes, tracking IDs, confidence scores on canvas)
- Algorithm library UI (28 algorithms, configurable parameters per camera)
- Multi-site management portal (service provider sees all sites, customers see only their own)
- Role-based authentication (admin, service provider, customer)
- Alert engine and notification system (email, push)
- Device health monitoring dashboard (CPU, NPU, memory, uptime per edge device)
- REST API for edge device communication (receive detections, send commands)
- PostgreSQL database for events, alerts, analytics history
- RabbitMQ integration for real-time event streaming from edge devices

Required Skills

- React / Next.js 3+ years, component architecture, state management
- Python (FastAPI) or Node.js (Express) production REST API experience
- PostgreSQL schema design, queries, migrations
- WebRTC / WebSocket real-time video and data streaming in browser
- HTML5 Canvas drawing overlays (bounding boxes, text) on video frames
- Authentication JWT, role-based access control
- Git Azure DevOps or GitHub, PR workflow
- Docker containerized deployment

Nice to Have

- RabbitMQ or MQTT messaging experience
- AWS deployment (EC2, RDS, S3)
- Experience with surveillance or video analytics dashboards
- Figma to code implementation
- CI/CD pipeline setup

Job Types: Full-time, Freelance

Pay: $57,346.60-$137,029.47 per year

Work Location: Hybrid remote in Concord, ON