DevOps Engineer

TLDR: We’re looking for a DevOps Engineer to build and maintain the cloud and on-prem infrastructure behind our platform: Kubernetes clusters, CI/CD pipelines, observability, networking, and automation that keep production reliable, secure, and scalable.

White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.

• We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others

• We process over one hundred million API calls every month

• We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model

We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.

• Design, build, and maintain production infrastructure across AWS and on-prem environments

• Manage and improve Kubernetes clusters for deployments, scaling, reliability, and day-to-day operations

• Build and maintain CI/CD pipelines that make shipping safer, faster, and more predictable

• Work on modern infrastructure, including Docker images, runtime security, and lifecycle management overall

• Achieve high availability, performance, and observability with monitoring, alerting, and troubleshooting practices

• Follow IaC approach using Terraform and similar tolls, help keep environments consistent and easy to scale

• Handle networking and connectivity topics across the stack, including routing, firewalls, load balancing, and cluster-to-cluster communication. Achieve least possible latency.

• Write Python scripts and internal tooling to automate repetitive tasks and improve operational workflows

• Collaborate closely with engineering and ML teams to support product infrastructure, internal platforms, and compute-heavy workloads when needed

• You have hands-on experience with AWS services such as IAM, S3, EKS, and ECR

• You’re comfortable working not only in cloud environments, but also with real production on-prem infrastructure

• You have strong Unix/Linux fundamentals and can confidently troubleshoot, tune, and operate systems in production

• You’ve worked with containers in real environments and understand how to build secure, efficient setups

• You have practical experience and fundamental knowledge with Kubernetes, whether in EKS, k0s, or similar distributions

• You’ve built or maintained real CI/CD pipelines and understand how to make deployments reliable

• You understand networking well, including TCP/IP, routing, firewalls, and load balancing

• You have solid Terraform and Infrastructure-as-Code experience

• You’ve worked with Datadog for monitoring and observability

• You use Python comfortably for automation and internal tools

• You communicate clearly and work well with others. Fluent English.

A big plus:

• Experience with machine learning or GPU workloads.

• Experience with multi-cluster or multi-cloud environments.

• Exposure to security-focused infrastructure, air-gapped environments, or locked-down systems.

• Salary of $80,000 to $150,000 + equity

• Paid time off in line with your local regulations, no matter where you work from

• Work from Paris (hybrid) + relocation package

• Best medical insurance in France

• All the hardware, tools, and services you need

• Covered subscriptions for AI agents and IDEs

• Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez

1. Intro call with one of our colleagues (25 min)

2. Technical interview with DevOps (1.5h)

3. Final call with our CEO and Head of Engineering (45 min)

Please submit your application in English.