---
title: 'DevOps Engineer at White Circle'
canonical: 'https://feeny.ai/job/devops-engineer-white-circle-paris-y84p4fve5nn1'
type: 'job'
last_seen: '2026-09-05'
---

# DevOps Engineer at White Circle

- **Company:** White Circle
- **Location:** Paris, France
- **Compensation:** $80k–$150k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-06
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/whitecircle/335e0413-097f-4f57-9674-c91dc698a824

## Job description

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 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.

## 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

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.

## About White Circle

## Company Overview
- **One-liner**: White Circle is a control layer for AI in production, providing safety, security, evals, and performance optimization through a unified API.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Dover, Delaware, United States (operational hub in Paris, France)
- **Founded**: 2025
- **Founders**: Denis Shilov (Founder & CEO)

## Core Business
- **Primary industry**: AI Governance, AI Security, AI Observability
- **Target customers**: B2B, Enterprise (companies deploying AI agents, chatbots, or LLM-powered applications)
- **Mission or purpose**: To give organisations visibility into how their AI behaves, help them respond when things go wrong, and provide a unified system for improving reliability, safety and compliance.

## Products & Services
- **White Circle Platform**: A single API that integrates three layers:
  - **Protect**: Custom low-latency guardrails for blocking unsafe inputs, preventing jailbreaks, detecting prompt injections, PII leakage, and sensitive data leaks.
  - **Observe**: Real-time analytics including topic classification, user behavior clustering, custom metrics, error rate analysis, sentiment analysis, and risk scoring.
  - **Improve**: Model routing, dynamic prompt engineering, context enrichment, and automated optimization based on labelled user feedback.
- **CircleGuardBench**: A proprietary benchmark for evaluating AI moderation models across harm detection, jailbreak resistance, false positives, and latency.
- **KillBench**: A benchmark of hidden LLM biases in critical decisions (life-and-death scenarios).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: $11M raised in seed funding (announced May 2026)
- **Notable Investors/Partners**: Backed by prominent AI and technology leaders including Romain Huet (ex-Head of Product @DeepMind), Dirk Kingma (Anthropic), Guillaume Lample (Mistral), Thomas Wolf (Hugging Face), Olivier Pomel (Datadog), François Chollet (Keras), Mehdi Ghissassi (ex-DeepMind), Paige Bailey (DeepMind), and David Cramer (Sentry).
- **Growth Signals**:
  - 21 employees (+283.3% YoY, +9.5% monthly growth)
  - Monthly website traffic: 32,090 visits (+682.7% yearly)
  - Active job postings: 6 (monthly job posting growth +20%)
  - SOC 2 Type II and HIPAA compliant
  - Operates in 7 countries (France, Russia, Netherlands, Serbia, Switzerland, Georgia, Spain)

## Competitive Advantages
- **Proprietary self-adjusting models** optimized for low-latency and high performance
- **Unified platform** that combines safety, security, evaluation, and performance optimization – no need for multiple point solutions
- **Enterprise-grade compliance** (SOC 2 Type II & HIPAA)
- **Strong network effects** from backing by leaders at OpenAI, Anthropic, DeepMind, Hugging Face, and Datadog
- **Automated red-teaming** and continuous improvement through user feedback

## Strategic Focus
- Accelerate product development and expand the team across the US, UK, and Europe
- Grow global customer base across healthcare, finance, hiring, and security verticals
- Continue building benchmarks (CircleGuardBench, KillBench) to shape AI safety standards
- Maintain deep integration with the AI open-source ecosystem

## Why Work Here
- **Culture**: “Smart, friendly, and fun” team with a strong engineering and research focus (43% technical staff)
- **Location**: Based in Paris, France with a hybrid work model (office + remote)
- **Benefits**:
  - Strong salary
  - 20 paid days off (plus ability to take more for recovery)
  - Free education (company covers learning costs)
  - Team offsites several times a year
- **Open roles** (June 2026): QA Engineer, Product Engineer (Backend), DevOps Engineer, Product Designer, AI Engineer (Audio), Data Engineer
- **Impact**: Build the future of AI safety at a well-funded, high-growth startup with world-class investors

## Sources
1. [whitecircle.ai](https://whitecircle.ai)
2. [whitecircle.ai/careers](https://whitecircle.ai/careers)
3. [LinkedIn – White Circle](https://www.linkedin.com/company/whitecircle)
4. [Tech.eu – White Circle lands $11M](https://tech.eu/2026/05/12/white-circle-lands-11m-to-help-companies-secure-ai-systems/)

## Other roles at White Circle

- [Finance Lead](https://feeny.ai/job/finance-lead-white-circle-us-san-francisco-or-s3jtsbzkwt7f) — US San Francisco OR, NY
- [Product Brand Designer](https://feeny.ai/job/product-brand-designer-white-circle-us-san-francisco-or-3v7jkx8gskhf) — US San Francisco OR, NY
- [Founding Account Executive](https://feeny.ai/job/founding-account-executive-white-circle-us-san-francisco-or-rns9xb4d5gj6) — US San Francisco OR, NY
- [Recruiter (Research)](https://feeny.ai/job/recruiter-research-white-circle-remote-1vekq2rdfrvz)
- [Founding Events Lead](https://feeny.ai/job/founding-events-lead-white-circle-new-york-wczngn43ffxc) — New York, NY
- [Partnerships Manager](https://feeny.ai/job/partnerships-manager-white-circle-london-c3ep31m67xse) — • London, United Kingdom
- [Senior Data Labeler](https://feeny.ai/job/senior-data-labeler-white-circle-paris-vtp78vea9yp4) — Paris, France
- [AI Red Team Engineer](https://feeny.ai/job/ai-red-team-engineer-white-circle-j1xbb74qxv2e) — •, United States
- [ML Infrastructure Engineer](https://feeny.ai/job/ml-infrastructure-engineer-white-circle-paris-cjvfwvec3k00) — Paris, France
- [Multimodal ML Engineer](https://feeny.ai/job/multimodal-ml-engineer-white-circle-paris-kd1xveq65a91) — Paris, France