Develop and maintain WUR’s AI Facility infrastructure, including Azure cloud environments, Kubernetes, and CI/CD pipelines, ensuring scalability, security, and performance for AI research and education. Collaborate with cross-functional teams to enhance user experience and operational reliability in an agile, research-driven environment.
Key Highlights
Design and manage secure, scalable Azure and Kubernetes environments for AI applications
Provision and maintain CI/CD pipelines with rollback and release procedures
Monitor performance, security, and observability while automating infrastructure management
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Key Responsibilities
Provision, manage, and scale secure Azure and Kubernetes environments for the AI Facility
Develop and maintain CI/CD pipelines with rollback and deployment procedures
Monitor and optimize platform performance, security, and observability
Collaborate with developers to improve user experience and system reliability
Document technical architecture, runbooks, and management procedures
Technical Skills Required
Azure Cloud Solutions
Kubernetes
Infrastructure-as-Code (e.g., Terraform)
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Benefits & Perks
Flexible working hours for work-life balance
Fixed year-end bonus (8.3%)
Excellent pension scheme and health insurance
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Nice to Have
Python or Bash scripting experience
Experience with ArgoCD or GitLab CI/CD
Basic knowledge of AI/ML concepts
Job Description
As an AI Platform Engineer, you will be part of an ambitious and technically strong team that is responsible for developing and maintaining our WUR AI Facility. You play a key role in setting up and managing the necessary infrastructure in Azure, provisioning of the CI/CD pipeline, monitoring and improving performance and improving the user experience. The system management covers infrastructure, platform, applications and functional services.We are looking for someone with a passion for IT, who has experience in building reliable infrastructure solutions based on Azure cloud solutions and on-premise cloud-native container environments.
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