Summary:
Cobalt AI uses automation to elevate physical safety and security in the workplace. Our platform, Cobalt Monitoring Intelligence, is a hybrid AI system, cloud-hosted with edge-deployed hardware, that provides human-verified, real-time monitoring of surveillance cameras, alarms, and robots across enterprise locations.
We're hiring a Senior Full Stack Engineer to own the interfaces that security teams rely on every day, including live robot video feeds, event triage workflows, real-time alarm dashboards, and fleet management tools built in React and TypeScript. You'll also work across the backend (Django/Python, GraphQL) to build the APIs that power those experiences.
Responsibilities:
• Build and refine real-time security dashboards, event triage interfaces, and fleet management
tools used by security teams 24/7
• Design and implement complex, interactive UIs - canvas rendering (environment maps, robot
positioning), data visualization, live robot video via WebRTC, and subscription-driven event
streaming
• Own component architecture in a monorepo and contribute to a Storybook-driven design system
• Build and extend the GraphQL API - queries, mutations, and WebSocket subscriptions -
serving all frontend applications
• Work with Django models in PostgreSQL - multi-tenant data isolation, schema design, query
optimization, and migrations
• Ship full-stack features end-to-end - from React components to GraphQL mutations to Django
models and background jobs
• Partner with the CDS and ML teams on the detection-to-event pipeline
• Write well-tested code with strong observability - tracing, structured logging, and metrics
• Participate in code reviews, architectural discussions, incident response, and on-call rotations
Qualifications:
• 5+ years of professional software engineering experience, with depth in frontend development
• Strong proficiency in React and TypeScript - opinionated about component architecture, state
management, and rendering performance
• Experience building complex, interactive UIs - canvas/2D rendering, real-time streaming, data
visualization, or WebRTC
• Backend fluency in Python and Django - building GraphQL APIs, writing migrations, and
optimizing ORM queries
• Solid understanding of PostgreSQL - data modeling, indexing, and query performance
• Comfort working in a monorepo with shared packages, generated types, and cross-team code
ownership
• Experience deploying to AWS and working with containerized applications
Competitive salary, equity, and full benefits (medical, vision, dental). Flexible work arrangements. A proven platform, an expanding customer base, and the opportunity to shape the engineering org at an inflection point.
Salary Range: $160k - $210k (actual compensation will be determined based on experience, location, and other factors permitted by law)
