We are looking for a Data DevOps Engineer to support and modernize database environments, ensure performance and security, and help deploy new technologies that enable AI-driven data exploitation. Acting as a bridge between business stakeholders and IT, you will play a central role in maintaining critical systems while industrializing new solutions.

What You’ll Do

• Maintain and evolve relational (PostgreSQL) and non-relational (Elasticsearch) databases, including installation, configuration, performance tuning, and industrialization.
• Implement and maintain automated backup and migration processes, replacing legacy stored procedures with backend functionality where needed.
• Contribute to the setup and integration of a centralized logging platform using Kafka.
• Support developers working on both legacy and modernized applications, ensuring secure and high-performing database structures.
• Work on CI/CD and deployment processes across traditional servers and container orchestrators (Kubernetes, OpenShift).
• Contribute to the introduction of specialized data platforms such as Graph DB (Neo4j) and Vector DB (Milvus).
• Collaborate on data modeling and standardization across multiple projects.
• Apply DevOps practices (Git, GitLab, GitOps, Python scripting) to industrialize solutions and optimize delivery.