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.

About us

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.

You will

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’ll fit right in if

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.

Why White Circle

Meaningful equity package

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

How we hire

Intro call with one of our colleagues (25 min)

Technical interview with DevOps (1.5h)

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

Please submit your application in English.

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