AI Platform Engineer (Azure, Kubernetes, DevOps)

wageningen university & research • Netherlands

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AI Summary

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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