Senior Platform Engineer

We're partnering with a venture-backed AI startup building the future of 3D creative tools. Their platform gives professional creative teams (in film, advertising, and gaming) spatial, camera-centric control over generative AI, entirely in the browser.

This is a foundational hire. You will be the platform team - owning everything behind the product: infrastructure, backend services, APIs, data storage, real-time collaboration systems, and the orchestration layer connecting multiple AI model providers. You'll set the technical direction and eventually build out the backend engineering function.

What you'll own:

• The entire platform layer - architecture, backend services, APIs, infrastructure
• Real-time collaboration systems powering multi-user 3D scene editing
• AI generation pipeline orchestration across multiple third-party providers
• Storage and CDN strategies for large binary assets (3D scenes, generated media)
• Infrastructure-as-code, CI/CD, observability, and system reliability (four nines target)
• Cloud cost management - particularly for AI workloads at scale

• Senior-level platform/infrastructure/backend engineer (7+ years)
• End-to-end product shipping experience - you've built it, shipped it, scaled it
• Fluent in Node.js and TypeScript at the platform level - this is the primary backend runtime
• Deep experience with PostgreSQL - schema design, performance, and operating at scale
• Strong with cloud platforms (GCP preferred), Docker, Kubernetes, and Redis
• Experience with real-time systems (WebSockets, distributed sync, shared state)
• Hands-on with async job queues, task orchestration, and multi-tenant SaaS architecture
• A strong communicator who can hold their own in technical discussions with senior peers, * Experience with creative tools, gaming, or real-time 3D platforms - game engine architecture, WebGL, asset pipelines, or collaborative creative software
• GCP-native operating experience (beyond general cloud familiarity)
• Experience orchestrating third-party AI model integrations in production
• Previous early-stage or founding infrastructure hire experience
• Actively building with AI - agent workflows, generative content pipelines, MCP integrations, or LLM-powered tooling