Backed by a16z.
About the role
You'll work across the whole backend: the SvelteKit app and its Postgres, Redis, and ClickHouse data layer, the Python services that run our ML inference, and the Kubernetes clusters that tie it together across multiple cloud and GPU providers. You'll own these systems end-to-end, from design through to running them in production.
What they're looking for
- We care more about first-principles engineering than which languages or tools you happen to know
- You've owned real production systems end-to-end: design, monitoring, metrics, incidents. Ideally you have 4–8 years of experience, but we care about scope and judgment over the number on your resume
- You're comfortable across the stack and unfazed by unfamiliar code, and you have opinions about how to architect things that scale
- You write and talk clearly, and you're happy working without a lot of PM hand-holding
- Bonus if you : have GPU or infra experience, have run Kubernetes in production, or come from a creative background. A lot of us do, and it helps when you're building tools for creatives (but it's genuinely not a requirement)
More about this role
At Krea, we are building next-generation AI creative tools.
We're 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. We recently took this a step forward with the launch of Krea 2 , our first foundation model, built completely from scratch for aesthetic diversity and stylistic control.
We've raised over $83M and are backed by world-class investors such as a16z, Bain Capital, and Abstract. We work full-time and in-person at our waterfront office in San Francisco. We care about creativity: our team includes musicians, designers, visual artists, and engineers.
You'll work across the whole backend: the SvelteKit app and its Postgres, Redis, and ClickHouse data layer, the Python services that run our ML inference, and the Kubernetes clusters that tie it together across multiple cloud and GPU providers. You'll own these systems end-to-end, from design through to running them in...
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