Your mission will be to contribute to, facilitate, and accelerate the development and deployment of Data Science, Data Analysis, Data Visualization, and AI projects. Your role will be cross-functional, intervening across the entire lifecycle of solutions: from data exploration to production deployment and their evolutionary maintenance. On a daily basis, you will be responsible for:

Designing and improving CI/CD processes

Deploying and industrializing applications in GCP Cloud

Automating infrastructure with Infrastructure as Code

Containerizing and orchestrating services with Kubernetes / GKE

Administering and maintaining shared Data services, notably Airflow and Langfuse

Supporting Data teams in their deployments and configurations

Participating in access management, incident resolution, and Cloud cost optimization

Ensuring the application of security and governance best practices

Identifying opportunities for automation and continuous improvement

Technical Environment

Must Have:

GCP / Cloud

Kubernetes

Infrastructure as Code (ideally Terraform)

CI/CD & DevOps practices

Containerization

Good understanding of network and infrastructure issues

If you also master:

GKE, Cloud Storage, Cloud SQL, Cloud Monitoring

Apache Kafka

Airflow

Bash / Python

This would be a real plus!

Desired Candidate Profile

You are a Senior DataOps Engineer, autonomous and comfortable in complex technical environments. You are recognized for your ability to:

• Solve complex technical problems
• Work autonomously and manage your priorities
• Collaborate effectively with diverse technical teams
• Communicate clearly in writing and orally
• Adopt a true DevOps & Agile culture
• Contribute to a continuous improvement approach