As a Cloud Engineer, you will own the design and scaling of core infrastructure that delivers advanced foundation models to production. Working alongside world-class AI researchers, you will bridge the gap between cutting-edge research and reliable, secure, and performant systems, establishing architectural best practices for the company's technical backbone from day one.
Back to all jobs
Learn about Jack
Cloud Engineer at Prior Labs GmbH
Join an elite team of AI researchers as the Cloud Engineer responsible for building the backbone of a foundation model startup. You will have total ownership over designing, building, and scaling the infrastructure that brings state-of-the-art AI to the world. From architecting secure backend APIs in Python to managing global clusters with Kubernetes and Terraform, this is a unique chance to make fundamental architectural decisions at a high-growth company. If you want to move beyond simple feature implementation and build the core production systems for the next generation of AI, this is your role.
About this role
Role overview
About the company
Prior Labs builds multimodal tabular foundation models (TFMs), starting with TabPFN, designed to understand tables natively and perform statistical reasoning directly from data. The company says its broader vision is to create agentic AI systems that can understand high-level goals, combine tables, language, and images, reason across modalities, integrate domain knowledge, infer causality, and adapt dynamically.
What you'll do
What you will do
- Architect and implement secure, scalable backend systems and production APIs using Python and FastAPI for model serving and finetuning.
- Deploy and manage core cloud infrastructure using Terraform, Docker, and Kubernetes with a focus on monitoring and cost-efficiency.
- Build end-to-end MLOps pipelines covering data ingestion, model deployment, and the entire machine learning lifecycle (MLLC).
Who you are
Who this is a fit for
- Has 3+ years of professional experience in Cloud Engineering, SRE, or Data Platforms managing production-scale infrastructure.
- Demonstrates mastery of Infrastructure as Code (Terraform), container orchestration (Kubernetes), and high-quality Python development.
- Possesses deep knowledge of data-intensive systems and modern warehousing platforms like Databricks, Snowflake, or BigQuery.
Why this role
Why this role is remarkable
- Significant architectural autonomy to design and build production-grade AI infrastructure from the ground up for state-of-the-art foundation models.
- Direct collaboration with elite AI researchers in a high-impact environment where you shape the technical direction of the company.
- Clear growth trajectory into technical leadership or deep specialization in MLOps and core backend systems as the team expands.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.