Jobs / Storm Group
DevOps Plateforme GPU - H/F
Storm Group · Paris, A8, France
Paris, A8, FranceExp: 4-8 yrs45,000-55,000 EUR/yearlyHybrid
Remuneration
75% public transport reimbursement; meal vouchers with 50% employer contribution (€10.50 per day); sports and wellness access; health and disability insurance; training and certification support; referral, profit-sharing, and incentive bonuses.
Location
Paris, A8, France
Visa sponsorship
Not specified
Job summary
The DevOps / GPU Platform Engineer industrializes, secures, and operates GPU acceleration platforms and generative AI model services in sovereign, highly secured private and hybrid environments. The role covers Kubernetes-based GPU orchestration for LLM fine-tuning and inference, CI/CD automation using Python and Bash, and production monitoring and incident response. It also contributes to Agile service planning and on-call continuity.
Benefits
75% public transport reimbursementMeal vouchers with 50% employer contribution (€10.50 per day)Sports and wellness accessHealth and disability insuranceTraining and certification supportReferral, profit-sharing, and incentive bonuses
Qualifications
- Four to eight years of experience in DevOps engineering, cloud, or production platform administration.
- Experience with production operations and security maintenance, with familiarity with AI/ML infrastructure.
- Proficiency in Kubernetes and Docker.
- Knowledge of AI and machine learning architectures; GPU orchestration experience is desirable.
- Experience deploying infrastructure in secure private, hybrid, or cloud environments.
- Proficiency with CI/CD, automation, Python, and Bash.
- Experience with Prometheus, Grafana, or ELK for monitoring and observability.
- Experience with Agile methodologies such as Scrum or Kanban and project tools such as Jira and Confluence.
- Engineering degree or master's-level degree in a relevant field.
Responsibilities
- Automate deployment of GPU acceleration platforms and AI model serving in secure private and hybrid environments.
- Administer and optimize GPU orchestration for LLM and generative AI fine-tuning and inference.
- Develop CI/CD pipelines and automation scripts in Python and Bash.
- Operate and secure production generative AI platforms.
- Monitor cluster utilization and GPU consumption using observability solutions.
- Investigate and resolve incidents affecting model availability or performance.
- Contribute to Agile planning, service roadmaps, documentation, and production deployment guides.
- Participate in planned on-call duties to support service continuity.
Skills
BashConfluenceDockerGrafanaJiraKubernetesOpenShiftPrometheusPython
Certifications
CKACKADRed Hat OpenShift certification
Degrees
Engineering degreeMaster's-level degree in computer science, software engineering, cloud computing
Work schedule
Planned on-call duties
Industry
DataArtificial intelligenceGenerative AI
Relocation
No