DevOps Engineer with AI Experience

Location: Brussels, Belgium

Employment Type: Permanent / Full-Time

Job Summary

We are seeking a highly skilled DevOps Engineer with AI/ML platform experience to design, implement, and maintain scalable cloud infrastructure supporting AI-driven applications. The adecuado candidate will have expertise in DevOps automation, CI/CD, cloud technologies, containerization, and MLOps practices to enable efficient deployment and monitoring of AI solutions.

Key Responsibilities:

- Design, implement, and maintain CI/CD pipelines for cloud-native and AI applications.
- Manage and optimize infrastructure on AWS, Azure, or Google Cloud Platform.
- Automate deployment, monitoring, and scaling using Infrastructure as Code (Terraform, Ansible, CloudFormation).
- Support AI/ML model deployment, versioning, and lifecycle management using MLOps practices.




- Implement containerization and orchestration using Docker and Kubernetes.
- Monitor system performance, reliability, security, and cost optimization.
- Collaborate with Data Scientists, AI Engineers, and Software Development teams to operationalize AI solutions.

Required Skills:

- 4+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering.
- Strong experience with Azure, AWS, or GCP.
- Hands-on expertise in Docker, Kubernetes, Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps.
- Experience with Infrastructure as Code tools such as Terraform or Ansible.
- Knowledge of Linux administration, scripting (Python, Bash, PowerShell), and networking fundamentals.
- Experience deploying and managing AI/ML workloads and MLOps platforms.

📌 Devops engineer(ai) (España)
🏢 Capgemini
📍 España