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 https://whitecircle.ai 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.

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.