Senior Platform Engineer

Intangible is camera-native AI for creative direction, giving professional teams camera-centric control over generative AI so they can see the whole story before they build it.

We are an interdisciplinary team of engineers, artists and designers that have built and shipped multiple end-to-end products at companies like Apple, Unity, Pixar, ILM and Electronic Arts. Intangible is seed funded by a16z Speedrun, Crosslink Capital and prominent angels.

We are a design-obsessed, engineering-heavy team shipping a groundbreaking product, and we’re looking for someone who shares our attention to detail and love of craft.

We're looking for a Senior Platform Engineer who is AI-fluent to help scale our infrastructure. You'll build and maintain the data and services powering our creative tools, ensuring speed, reliability, and scale. Our ideal candidate has deep expertise in managing content across asynchronous and real-time collaborative environments, including orchestration of agentic APIs and data flows through these environments.

• Provide technical leadership and architectural direction for Intangible's platform layer1

• Design and evolve infrastructure for our AI-assisted, collaborative tools at scale

• Develop highly efficient storage and CDN strategies for large binary assets (e.g., 3D scenes, generated media)

• Lead the implementation of backend services and APIs with a focus on security, modularity, and performance

• Design and maintain robust API contracts for external developers and partners

• Define and implement infrastructure-as-code, CI/CD, observability, and system health tooling

• Ensure our systems meet high availability targets ("four nines") while remaining flexible for rapid iteration

• Integrate 3rd-party services including AI pipelines, payments, analytics, and user auth1

• Collaborate across product, design, and ML to translate creative tooling needs into backend capabilities

• Focus on cost management and cloud spend optimization, particularly for large-scale AI workloads

• Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes)

• Practical expertise with cloud infrastructure and IaC tools

• Practical use of AI/ML models in production (e.g., inference pipelines)

• Proven experience with asynchronous job queues and task orchestration, especially related to scaling under AI workloads (e.g., for agentic plans).

• Deep understanding of distributed systems, WebSockets, WebTransport, and realtime sync

• Optimizing schema and large data sets for use by LLMs

• Architecting and deploying multi-tenant systems with strong role, permission, and tenant isolation

• Managing schema migrations and cross-environment data synchronization safely

• Comfort working in a fast-moving, creative environment with a highly interdisciplinary team

• Expertise in GCP and/or PostgreSQL

• Experience with 3D tools or creative platforms

• Experience with media and content management systems

• Passion for building creative tools and empowering artists

• Experience using AI tools to improve engineering workflows (e.g., code generation, debugging, testing, documentation), or strong openness to adopting them.

• We are a remote-first distributed company with HQ in the SF/Bay Area

• Health insurance for you and your dependents

• 401(k) plan with employer contribution

• Flexible PTO
  

  Technical stack keywords

  NodeJS, Python, GCP, google cloud, postgresql, supabase, cloud run, GKE, kubernetes, k8s, redis, memorystore, websockets, sockets, stripe, docker