Platform Engineer, AI

Inetum

Platform Engineer focused on designing AI infrastructure at Inetum, a leader in digital services. Engaging in multi-tenant cloud management and resource optimization for AI applications.

Posted 4/11/2026full-timeRemote • Iowa • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKubernetesOpenShift

About the role

Key responsibilities & impact

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

What you’ll need

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).

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI platform designcloud infrastructure managementautoscaling systemsresource managementinfrastructure templatesnetworkingKubernetescontainer orchestrationGPU computingresource optimization