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Senior Full-Stack Engineer: Real-Time UI & GraphQL APIs

Cobalt AI · San Francisco, CA, USA ·

Job type:
Full Time

Requirements

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

What the job involves

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 , 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
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