Senior Platform Engineer - W/M/NB

SmartRecruiters, Inc.; Paris (TX); On-site; USD 103,000 - 148,000; Full time

Benefits offered by this job

E-learning platform

Game library

Clubs and activities

Job summary

Ubisoft Paris, the studio behind major franchises, seeks a Platform/DevOps/MLOps Engineer to design and operate a GPU platform on GCP for AI workloads. You will implement infrastructure-as-code, enabling self-service compute for data scientists on Kubernetes and establish golden deployment paths to accelerate product delivery.

You will collaborate with Data Science teams from PoC to production, optimize costs, and continuously improve system reliability and performance in a fast-paced

Qualifications

• Significant experience as Platform/DevOps/MLOps Engineer with software fundamentals and distributed systems knowledge.
• Hands-on experience with Kubernetes, Terraform, and GitOps practices including CRDs and operators, scheduling and autoscaling, node pool design, ArgoCD, and Helm.
• Solid experience with GCP; real-world exposure to AWS is a strong plus.
• Platform-as-a-product mindset; comfortable with ambiguity and autonomy; communicate with data scientists as users.

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 performing operations each time.
• Assist the existing IT Squad in ensuring 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 from PoC to service deployment on production clusters.
• Continuously improve performance, reliability and efficiency of above systems.
• Automate internal workflows, utilizing AI-powered systems wherever applicable.

Skills

Platform/DevOps/MLOps

Kubernetes

Terraform

GitOps

Distributed Systems

English fluency

Tools

GCP

AWS

ArgoCD

Helm

Kubectl

Job description

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!

Ubisoft's pioneeringstudio,Paris studio was responsible for the publisher's first successes following its creation in 1992. Today, it is at the helm of such must-have licenses as Just Dance, Ghost Recon and Mario + TheRabbids. Ubisoft Paris has also built a solid reputation as a partner of choice in cross-studio collaborations such as Watch Dogs, Skull & Bones, Beyond Good & Evil 2 and Star Wars. Building on this experience, the studio continues to push theboundaries of creativity by working on some very promising yet unannounced projects.

With 750 talents of 35 nationalities, Ubisoft Paris is today the largest studio in France and one of the most experienced in the industry. Young talents can benefit from thestrongpresence of senior profiles in the creative, technicalorartistic fields. Everyone is driven by the same passion: to push the limits of what is possible and to offer new experiences to our players.

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. In this capacity, you will:

• 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.

Additional Information

Joining us means having access from day one to:

Our internal e-learning platform to finally train on the toolsyou’vealways wanted tomaster;

Our game librarywhereyou can borrow the latest Ubisoft titles, competitor games, consoles, and boardgames;

Our works council (CSE)offeringdiscountedrates on a wide range of shows, cinemas, concerts, gyms, amusement parks, and many other great deals.

Andafteroneyear?

You’llhave a career and development planestablishedwith your manager, along with clear goals to help you grow eachyear;

You’llhave joined one of our clubs: choir, yoga, tennis, lightsaber… or even created your own!

You’llenjoy your 1.5-hour lunch break by taking a class in our gym or borrowing one of our bikes for a ride in the Bois deVincennes;

You’llbe looking forward to the next surf/yoga or ski weekend organized by theCSE;

You’llhave become unbeatable at foosball, climbing,Just Dance, orBoomerangFu;

You’llhave raided the internalsaleto complete your collection of Ubisoft goodies and games (because you can never have too many).

Ubisoft is an equal opportunity employer and offers all individuals the same access to employment, regardless of gender, ethnicity, religion, sexual orientation, social status, disability, or age. Ubisoft is committed to fostering an inclusive work environment that reflects the diversity of its player community.