# Senior Platform Engineer - W/M/NB

**Company**: Ubisoft
**Location**: Paris, IDF
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Game Development

**Apply**: https://jobs.smartrecruiters.com/Ubisoft2/744000151380469-senior-platform-engineer-w-m-nb?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_30c9ab5f-6d2

## Description

You will be the first member of the new Platform Team, focused on GPU workloads and high-performance model serving & training technologies.

You will bring your DevOps expertise to help Data Scientists and Machine Learning Engineers build and operate AI services.

You will play a key role in building and operating a new Kubernetes cluster, deploying self-service applications for other teams, establishing best practices and new workflows and mentoring future hires.

Responsibilities:

- Design, build and operate a GPU platform on GCP for AI workloads, fully expressed as infrastructure-as-code

- Deliver self-service compute for the data science team, e.g. Ray on Kubernetes, with job submission, queuing, quotas and cost visibility

- Establish golden paths for deploying services so product teams can ship a new service without having to perform operations each time

- Assist the existing IT Squad in ensuring the deployment, hosting, and smooth operation of models in production environments

- Oversee and control infrastructure costs, including GPUs, cloud resources, and related services

- Collaborate closely with Data Science teams, assisting them from the PoC stage to service deployment on production clusters

- Continuously improve the performance, reliability, and efficiency of above systems

- Automate internal workflows, utilizing AI-powered systems wherever applicable

QUALIFICATIONS:

- You have significant experience as a Platform, DevOps, or MLOps Engineer, with strong Software Engineering fundamentals and a good understanding of Distributed Systems

- You have strong hands-on experience with Kubernetes, Terraform, and GitOps practices, including CRDs and operators, scheduling and autoscaling, node pool design, state management, ArgoCD, and Helm

- You have solid experience with GCP; real-world exposure to AWS is a strong plus

- You have a platform-as-a-product mindset and are comfortable working with ambiguity and autonomy: you treat data scientists as users, document your solutions, measure adoption, research solutions independently, and set technical precedents when needed

- You are fluent in English, both written and spoken, and can communicate effectively with a wide range of stakeholders

Nice to Have:

- Hands-on experience running or optimizing GPU-based workloads in production, ideally for ML training or inference

- Experience with distributed job scheduling, such as KubeRay, Slurm, or Kubeflow

- Experience with cross-cloud networking, including Interconnect, VPN, Private Service Connect, and identity federation between AWS and GCP

- Familiarity with MLOps tooling, such as MLflow, Weights & Biases, and model registries

## Skills

### Required
- Kubernetes
- Terraform
- GitOps
- GCP
- DevOps
- MLOps
- Distributed Systems
- Software Engineering

### Nice to have
- GPU-based workloads
- ML training
- inference
- KubeRay
- Slurm
- Kubeflow
- cross-cloud networking
- MLOps tooling

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Source: [Apply at jobs.smartrecruiters.com](https://jobs.smartrecruiters.com/Ubisoft2/744000151380469-senior-platform-engineer-w-m-nb?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)