Cloud ML Platform Engineer — Scale AI Infrastructure

PriorLabs GmbH; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

PriorLabs GmbH is seeking an experienced Cloud Infrastructure Engineer to design, build, and scale the core backend and production systems powering our foundation models. You will work closely with AI researchers to translate cutting‑edge research into reliable, scalable services and automated pipelines.

In this role you will own cloud infrastructure, implement IaC with Terraform, and drive best practices for testing, CI/CD, and security across the engineering team, enabling robust deployment

Qualifications

• 3+ years of professional experience in cloud engineering, data platform, or SRE roles.
• Proven ability to design and maintain data‑intensive systems.
• Hands‑on experience with IaC using Terraform.
• Strong containerization/orchestration experience (Docker, Kubernetes).
• Proficiency in Python and building production backend services.

Responsibilities

• Architect, design, and scale robust backend systems and APIs for serving foundation models.
• Develop high‑quality, maintainable code (Python/FastAPI) for core services.
• Own infrastructure deployment and operations on cloud platforms with focus on reliability and cost‑efficiency.
• Understand the end‑to‑end ML lifecycle including data prep, deployment, monitoring, and retraining.
• Ensure GDPR‑compliant systems with secure data storage, access control, and auditing.

Skills

Python

Cloud infrastructure design

SRE practices

CI/CD

Security & compliance

Team collaboration

Tools

Terraform

Docker

Kubernetes

Databricks

Snowflake

BigQuery

Job description

PriorLabs GmbH is seeking an experienced Cloud Infrastructure Engineer to design, build, and scale the core backend and production systems powering our foundation models. You will work closely with AI researchers to translate cutting‑edge research into reliable, scalable services and automated pipelines.

In this role you will own cloud infrastructure, implement IaC with Terraform, and drive best practices for testing, CI/CD, and security across the engineering team, enabling robust deployment