DevOps Engineer

White Circle; Paris; Sur place; EUR 60 000 - 95 000; Plein temps

Avantages offerts par ce poste

Meaningful equity package

Paid time off in line with local regs

Relocation package

Best medical insurance in France

All hardware and tools provided

AI agent subscriptions

Résumé du poste

White Circle, an AI Safety company, is seeking a DevOps Engineer to design and maintain production infrastructure across AWS and on-prem, with Kubernetes, CI/CD pipelines, observability, and automation.

You will collaborate with engineering and ML teams, write Python tools, implement IaC with Terraform, and ensure high availability and security; hybrid work from Paris with relocation support.

Qualifications

• Hands-on AWS with IAM, S3, EKS, ECR.
• Comfort with on-prem infrastructure in production.
• Strong Unix/Linux fundamentals; production troubleshooting.
• Experience with containers and secure, efficient setups.
• Solid Terraform/IaC experience.
• Experience with Datadog monitoring.
• Python for automation.
• Fluent English.

Responsabilités

• 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.
• Achieve high availability, performance, and observability with monitoring, alerting, and troubleshooting practices.
• Follow IaC approach using Terraform and similar tools, help keep environments consistent and scalable.
• Handle networking and connectivity topics across the stack, including routing, firewalls, load balancing, and cluster-to-cluster communication.
• 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.

Connaissances

AWS

Kubernetes

CI/CD

Python

Linux/Unix

Networking

Observability

IaC

Security in production

On-prem infrastructure

Outils

Docker

Terraform

Datadog

Description du poste

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 reliableYou 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

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)