Cloud & On-Prem DevOps Engineer for ML Workloads

Npv; Paris; Hybrid; EUR 69,000 - 129,000; Full time

Benefits offered by this job

Relocation assistance

Visa sponsorship

Equity offered

Job summary

White Circle, an AI Safety company building policy enforcement and optimization layers for AI systems, is seeking a DevOps Engineer to join the team in Paris on a hybrid basis. You will manage production infrastructure across AWS and on-premise environments, with a focus on Kubernetes, CI/CD, security, observability, and networking.

You must have hands-on AWS, Kubernetes, Docker, Terraform, Datadog and Python experience.

Qualifications

• Hands-on experience with AWS (IAM, S3, EKS, ECR), Kubernetes, Docker, Terraform, Datadog, and Python.
• Strong Linux fundamentals and networking knowledge – TCP/IP, routing, firewalls, load balancing. Comfortable in cloud and on-prem environments.
• Must have ML or GPU workloads, multi-cluster or multi-cloud environments, or security-focused/air-gapped infrasture.
• Relocation to Paris (hybrid) required.

Responsibilities

• Build and maintain production infrastructure across AWS and on-prem – Kubernetes clusters, CI/CD pipelines, container security, observability, and networking.
• Own IaC with Terraform, write Python automation, and support engineering and ML teams with compute-heavy workloads.

Skills

AWS

Kubernetes

Docker

Terraform

Datadog

Python

Linux fundamentals

Networking

Tools

S3

EKS

ECR

Job description

We're looking for a DevOps Engineer to join White Circle, an AI Safety company building the policy enforcement and optimization layer for AI systems. Backed by $11M from senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, and DeepMind, White Circle processes 100M+ API calls monthly and runs its own LLMs in production.

You will

• Build and maintain production infrastructure across AWS and on-prem – Kubernetes clusters, CI/CD pipelines, container security, observability, and networking.

• Own IaC with Terraform, write Python automation, and support engineering and ML teams with compute-heavy workloads.

Requirements

• Hands-on experience with AWS (IAM, S3, EKS, ECR), Kubernetes, Docker, Terraform, Datadog, and Python.

• Strong Linux fundamentals and solid networking knowledge – TCP/IP, routing, firewalls, load balancing.

• Comfortable in both cloud and real production on-prem environments.

• One of the following is a must: ML or GPU workload experience, multi-cluster or multi-cloud environments, security-focused or air-gapped infrastructure.

• Relocation to Paris (hybrid) required.

We offer

• $80k–$150k/year salary + equity; higher figures can be negotiated.

• Official employment, visa and relocation help.

Compensation: $80K – $150K • Higher figures and equity are negotiable

• • $80K – $150K • Higher figures and equity are negotiableFind Jobs in France on Arbeitnow