DevOps Jobs in France
There are 1,986 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
Ingénieure / Ingénieur DevOps
Maintain and optimize cloud infrastructure (AWS/Azure/GCP), Kubernetes clusters, and CI/CD pipelines while monitoring systems with Prometheus, Grafana, and Datadog.
Ingénieur DevOps
You’ll deploy, secure, and scale AI solutions and cloud infrastructure using Kubernetes, Terraform, and AWS, while automating CI/CD pipelines and collaborating with developers and data scientists.
Junior Data & AI Platform Engineer — Automate & Scale Pipelines
Build and scale data pipelines and AI services for a climate-tech startup, focusing on automation, reproducibility, and DevOps practices.
Data Infrastructure Engineer - Scale AI Training Platform
Design and operate scalable data infrastructure for AI model training, migrating legacy systems and ensuring high-performance compute access across cloud and on-premise environments.
GCP Data Cloud Engineer | Automation & Security
Designs and deploys GCP data pipelines on BigQuery and Dataflow, automates infrastructure with Terraform, and maintains reliable environments using CI/CD and Kubernetes.
Senior Data Infrastructure Engineer - Real-Time Platforms
Owns and optimizes real-time data pipelines and analytics infrastructure for a streaming ad platform, using Python/Rust, Kafka, Spark, and ClickHouse.
Data Cloud Engineer GCP Senior (H/F)
Designs and deploys robust GCP data solutions (BigQuery, Dataflow, Cloud Storage) with security, monitoring, and automation using Terraform and Python.
Data & DevOps Engineer H/F
Build and deploy scalable data pipelines and ML infrastructure for AI projects, using DevOps practices like CI/CD, Kafka, and Terraform.
Confirmed Data & Cloud Engineer (H/F)
Build and maintain data pipelines and cloud infrastructure for clients, focusing on Snowflake data warehousing, Data Clean Rooms, and cloud platforms like GCP, Azure, and AWS using Python, SQL, Docker, Terraform, and Airflow.
Lead Data & Cloud Engineer (F/H)
Lead a team building cloud-based data pipelines and warehouses using Databricks, Snowflake, and Azure Fabric to deliver analytics and AI solutions for enterprise clients.
Lead Cloud & Data DevOps Engineer
Lead a team to design and deliver complex Power BI and data solutions in cloud environments, ensuring code and data quality while mentoring colleagues.
Data Infrastructure Engineer – Exabyte-Scale Platform
Build and maintain the data infrastructure that powers Mistral AI’s large-scale model training and fine-tuning, including compute fleets, storage, and secure MLOps pipelines.
Data Cloud Engineer GCP (H/F)
Designs, deploys, and secures Google Cloud data pipelines (BigQuery, Dataflow, Cloud Storage) using Terraform and Python, while automating CI/CD and cloud operations for enterprise clients.
Platform Engineer - Data Storage
Design and automate scalable data storage infrastructure using PostgreSQL, MongoDB, ClickHouse, and tools like Terraform and Ansible to ensure high availability and reliability for a global CRM platform.
DevOps Project Manager: Data Pipelines & Cloud
Manage and build robust data pipelines on Databricks using PySpark and Spark SQL for enterprise clients across industries like logistics and banking.
Rust Data Infrastructure Engineer: High-Performance Pipelines
Build and optimize high-performance Rust-based data pipelines and distributed systems for AI model training, focusing on memory management, concurrency, and code review.
Ingénieur ML & MLOps — Data Pipelines (Paris)
Build, train, and deploy ML models for recommendation, segmentation, scoring, and NLP, then set up robust AWS data pipelines and MLOps practices to industrialize them.
Lead Data & Cloud Engineer — Remote
Lead a team building cloud-based data pipelines and warehouses using Databricks, Snowflake, and related tools while translating business needs into scalable architectures.