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Krea

Fullstack Engineer

11mo ago
USA
Krea

Fullstack Engineer

11mo ago
USAsveltetypescriptnodepostgresrediswebsocketopentelemetryaws+1

Build and maintain frontend and backend components for AI creative tools including APIs and real-time image/video generation pipelines.

Other

  • 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.
  • 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.
  • 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.
  • 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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