Fullstack Engineer

Job Summary

At Krea, we are building next-generation AI creative tools designed to make AI intuitive and controllable for creatives. Our mission is to empower human creativity through better, smarter, and more controllable AI tools.

Responsibilities

• 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.

Requirements

• Strong candidate with solid full-stack JS/TS engineer skills, with a 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 a plus.
• Bonus: prior work on enterprise auth features, GPU workloads, ML or image/video pipelines.

Skills

• 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.

Benefits

• Flexible working hours
• Competitive salary
• Professional development opportunities
• Work-life balance

Pay

Commensurate with experience

Schedule

Full-time