Senior GPU Platform Engineer for AI Services & Kubernetes

Ubisoft

Paris

Sur place

EUR 90 000 - 120 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

E-learning platform
Game library access
CSE discounts
Gym/relax break initiatives

Résumé du poste

Ubisoft is seeking a Platform/DevOps/MLOps Engineer to join our new Platform Team in Paris. You will design and operate a GPU-focused platform on GCP, delivering self-service compute for data scientists and establishing golden paths for service deployments.

You will work with IT and DS teams to productionize models and continuously improve performance and cost efficiency. You will bring hands-on Kubernetes, Terraform, and GitOps expertise, including ArgoCD and Helm, with strong cloud experience

Qualifications

  • Significant experience as Platform, DevOps, or MLOps Engineer with strong software fundamentals and distributed systems.
  • Hands-on experience with Kubernetes, Terraform, and GitOps practices including CRDs and operators.
  • Experience with Kubernetes scheduling, autoscaling, and node pool design; ArgoCD and Helm know-how.
  • Solid knowledge of GCP; AWS exposure is a plus and considered welcome.

Responsabilités

  • Design, build and operate a GPU platform on GCP as infrastructure-as-code.
  • Deliver self-service compute for data science teams with job submission, queues, quotas and cost visibility.
  • Establish golden paths for deploying services to reduce operational toil.
  • Assist IT Squad to deploy and run models in production environments.
  • Oversee infrastructure costs and optimize cloud resources, GPUs and related services.
  • Collaborate with Data Science teams from PoC to production deployment.

Connaissances

Platform Engineer
DevOps Engineer
MLOps Engineer
Kubernetes
Terraform
GitOps
ArgoCD
Helm
GCP
English fluent

Outils

Kubernetes
Terraform
GitOps
ArgoCD
Helm

Description du poste

Ubisoft is seeking a Platform/DevOps/MLOps Engineer to join our new Platform Team in Paris. You will design and operate a GPU-focused platform on GCP, delivering self-service compute for data scientists and establishing golden paths for service deployments.

You will work with IT and DS teams to productionize models and continuously improve performance and cost efficiency. You will bring hands-on Kubernetes, Terraform, and GitOps expertise, including ArgoCD and Helm, with strong cloud experience

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