Key skills
AWSAzureCloudGoogle Cloud PlatformKubernetesOpenShiftAIMLGCPGoogle CloudEKSAKSGKECommunication
About this role
Role Overview
- Design and implement the core AI platform.
- Manage multi-tenant cloud infrastructure for AI applications.
- Implement autoscaling systems and resource management.
- Create reusable infrastructure templates and blueprints.
- Establish networking and communication between AI services.
Requirements
- Minimum required education: Degree or Higher Technician (MECES Level 1 / EQF Level 5) in Information Technologies, engineering, mathematics, statistics, or physics.
- Required experience: At least 5 years in platform engineering, with a minimum of 2 years working with ML/AI workloads.
- Required knowledge: Kubernetes and container orchestration.
- OpenShift, OpenShift AI, and Cloud Pak for Data.
- GPU computing and resource optimization.
- Cloud platforms (AWS EKS, Azure AKS, GCP GKE).
Tech Stack
- AWS
- Azure
- Cloud
- Google Cloud Platform
- Kubernetes
- OpenShift
Benefits
- 22 days of vacation + 2 personal days.
- Company-provided training to support your development and progression within the existing career path.
- Opportunities to attend relevant industry events and conferences.
- Permanent contract.
- Stability and a positive work environment.
- Competitive salary.
- Access to group/company benefits.
- Flexible compensation and additional benefits.