DevOps Jobs in France
There are 1,984 open DevOps jobs in France on freehire right now. 447 of them were posted recently. The skills employers ask for most often are devops, cloud and ci-cd.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| EUR | year | €50,375 | €60,000 | €65,875 | 22 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- devops 83%
- cloud 60%
- ci-cd 59%
- kubernetes 50%
- terraform 36%
- docker 35%
- ansible 35%
- linux 31%
How the work is done
- Hybrid 156 · 8%
- Remote 33 · 2%
- Onsite 22 · 1%
Visa sponsorship offered in 53% of the 62 postings that state a position on it.
Seniority
- Senior 200
- Lead 37
- Junior 16
- Staff 8
- C-level 6
- Intern 4
Who is hiring
- 1000+ employees 298
- 501-1000 employees 179
- 51-200 employees 105
- 201-500 employees 26
- 11-50 employees 25
- 1-10 employees 2
Data & Cloud Engineer (H/F)
Build and maintain data pipelines and cloud-based data platforms for clients using Python, SQL, Docker, Kubernetes, and Terraform across GCP, Azure, and AWS.
Data & Cloud Engineer Confirmé - Big Data, Spark & DevOps
Build and maintain scalable data pipelines and cloud infrastructure using Spark, SQL, and DevOps practices for enterprise clients.
GCP Data Cloud Engineer — Build Scalable Data Solutions
Design and deploy scalable data solutions on Google Cloud for clients, integrating security and automation using GCP, Terraform, and Agile practices.
DevOps IA & Data — Pipelines, CI/CD et Cloud
DevOps engineer builds and maintains CI/CD pipelines, automates cloud deployments, and monitors Kubernetes-based infrastructures for a data and ML-focused consulting engagement.
Remote Data & DevOps Engineer - Big Data & ML Ops
Build and maintain scalable Big Data and ML Ops pipelines, design architectures, and collaborate with data scientists to support AI-driven projects in a Paris-based tech company.
Platform Engineering Leader — Scale Data Pipelines & Cloud
Lead a team to design and scale cloud-based data pipelines and platforms for a sports analytics company using AWS.
Staff Platform Engineer (EU) - Scale Infra & Data Pipelines
Build and scale Ashby’s recruiting infrastructure and data pipelines using TypeScript, AWS, and SQL to improve performance and security.
DevOps Engineer - Cloud, CI/CD & Data Pipelines
Designs, builds, and maintains scalable cloud infrastructure for research and trading systems using AWS services like EC2 and EKS, while automating deployment pipelines.
Azure AI DevOps Engineer: Cloud & Data Pipelines
Design and deploy Azure cloud and AI pipelines, integrating Kafka and LangChain while automating data flows for scalability.
DataOps & DevOps Engineer — Cloud Data Pipelines
Designs and maintains cloud data pipelines and analytics platforms for clients in luxury, retail, healthcare, and media, ensuring robust orchestration, security, and observability.
Security Platform Engineer: SIEM & Data Pipelines
Architect and maintain SIEM infrastructure and log-management pipelines for an AI company, ensuring scalable, reliable security logging.
INGÉNIEUR PRODUCTION / TOIP (VOIP) / DEVOPS Paris (75) ou Lyon (69), France (présentiel) 2026-04-28
Engineer production/VoIP/DevOps to deploy, monitor, and automate telephony and Linux platforms (Asterisk, Zabbix, VTOM) and handle 24/7 incident response.
Ingénieur/e Intégrateur/trice Système DevOps - Défense & Sécurité - Le Plessis Robinson
You design, harden, and automate Linux-based secure systems for defense and security projects, using DevOps practices and tools like Ansible, Docker, and ELK.
Ingénieur API & Python – FastAPI & DevOps
Builds and deploys robust APIs in Python with FastAPI and CI/CD pipelines, collaborating with client teams to enable scalable infrastructure.
Ingénieur Python Senior – IA Générative & DevOps
Build and maintain internal AI services, focusing on generative AI and DevOps practices using Python, Docker, and Kubernetes in an agile environment.
Ingénieur Linux et Open Source — DevOps & Cloud
Designs Linux-based architectures, deploys open-source tools, and trains clients on Ops/DevOps practices using Ansible and public cloud.