Summary
✨ AI‑Generated
Join a DevOps team building scalable cloud infrastructure for AI-driven applications. You will design CI/CD pipelines, automate infrastructure with Terraform, Ansible, or CloudFormation, manage Docker and Kubernetes environments, and support AI/ML model deployment, monitoring, versioning, and lifecycle management.
Highlights
Permanent full-time DevOps opportunity combining cloud engineering with AI/ML infrastructure. The role covers CI/CD, infrastructure as code, containers, Kubernetes, MLOps, monitoring, and scalable deployment across major cloud platforms.
Description
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 ideal 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.
