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Fullstack EngineerKrea • San Francisco, California, United States
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Fullstack Engineer

Krea
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
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About

About Krea At Krea, we are building next-generation AI creative tools. We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it. We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium.
Some examples of things you will do:
Build and maintain APIs and UI flows for web + mobile in Svelte/SvelteKit, TypeScript.
Design interactive, responsive front-end experiences—drag-and-drop, real-time canvas polish, smooth and responsive UI animations.
Optimize frontend performance: minimize render latency, profile UI with virtual DOM techniques, deliver seamless WebSocket image streams.
Design and maintain backend services (Node), DB models (Postgres + Redis caching/pooling).
Kickstart a Public API project to serve Krea AI models to millions of developers.
Diagnose HTTP/3 and WebSocket related issues both on the client side and the server side.
Drive real-time image & video generation pipelines via low-latency APIs.
Improve observability and alerting using OpenTelemetry tools.
Implement enterprise features: Audit Logs, SAML/SSO, SCIM provisioning.
Bonus: Scale our infra architecture through deep understanding of our AWS EKS GPU clusters or Kubernetes operators.
Strong candidates may have experience with the following:
Solid full-stack JS/TS engineer with frontend focus—component design, UI state, animations, client performance.
Experience with SvelteKit or similar frameworks, real-time UI via WebSockets.
Comfortable designing APIs, database schemas, caching strategies.
Familiar with infra and scale: Kubernetes, Postgres, Redis, observability stacks.
Side projects or open-source contributions in UI/infra are plus.
Bonus: prior work on enterprise auth features, GPU workloads, ML or image/video pipelines.
Stack:
Frontend: Svelte/SvelteKit
Backend: Node + TypeScript, Postgres, Redis
Realtime: WebSockets, HTTP/3
Infra: AWS EKS GPU clusters, Kubernetes
Observability: Prometheus, OpenTelemetry, Axiom/HyperDX
Tools: GitHub, Slack, Notion
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  • San Francisco, California, United States

Languages

  • English
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