DevOps GPU Platform - M/F

Project overview

#StormYourCareer Join STORM GROUP and grow with us!

Industrialize GPU compute accelerators, automate GenAI platforms, and propel sovereign AI for a major international group.

Within a major international group, the team specialized in Data and Artificial Intelligence designs, deploys, and operates shared technological platforms to support the digital transformation of the organization's various entities. We are looking for a DevOps / GPU & AI Platform Engineer to join the team dedicated to Generative AI (GenAI) services. Your role will be crucial, highly innovative, and structuring: you will be responsible for the deployment, industrialization, security, and operation of compute acceleration platforms (GPU) and AI model services hosted in sovereign and highly secure environments.

Your Future Environment

You will work at the heart of the hub dedicated to Artificial Intelligence infrastructure and services, in close interaction with MLOps teams, Data Scientists, security architects, and product managers. Organized using Agile methodology, you will work in a complex, distributed, secure, and highly available technical environment. This is the ideal setting to handle the latest GPU orchestration technologies, automate the provision of generative AI models, and ensure data sovereignty within a global organization.

Your Key Missions

Industrialization, Automation & GPU Architecture (BUILD & AGILE Mode):

Operational & Security Maintenance (RUN & SECURITY Mode):

• Industrialize and automate the deployment of compute acceleration platforms and AI model serving in secure private and hybrid environments.
• Administer and optimize the orchestration of GPU compute resources for fine-tuning and inference of LLM / GenAI models.
• Contribute to the evolution of the deployed solutions' architecture and integrate new managed services respecting security, compliance, and governance requirements.
• Automate continuous deployment (CI/CD) pipelines and develop automation scripts (Python, Bash).
• Actively participate in Agile ceremonies, product backlog tracking, and the planning and definition of the AI services roadmap.
• Document service offerings, design production deployment guides, and conduct demonstrations for stakeholders.
• Ensure the Operational and Security Maintenance (MCO/MCS) of generative AI platforms in production.
• Implement and manage supervision, monitoring, and observability solutions for cluster usage and GPU consumption.
• Analyze and resolve complex technical incidents impacting model availability or performance.
• Participate in the squad's cross-functional activities and on-call duties to ensure impeccable service continuity.

Requirements

Your Assets

Our Benefits

5 Reasons to Join Us

Our Selection Process

Ready to join a team of committed experts? Don't hesitate, join the Storm Team!

Storm Group encourages an inclusive and multicultural culture where diversity of profiles fuels our collective intelligence. By joining the Storm Team, you become part of a committed ecosystem that places the development of your talents at the heart of its strategy, while actively contributing to solidarity and reducing environmental impact, both within our offices and in the large-scale projects we undertake for our clients.

Work Environment

Storm Group is a consulting firm specializing in the transformation of Information Systems and Organizations. We support our clients across the entire IT value chain, from expert sourcing to strategic consulting and software engineering.

Our clientele primarily consists of major players in banking, insurance, and finance, for whom we mobilize rigorously selected consultants for their most strategic projects.

• Education: Engineering degree or Master's degree (Bac+5) in computer science, software engineering, Cloud computing, or Big Data / AI.
• Experience: You have 4 to 8 years of confirmed experience in DevOps engineering, Cloud, or Production Platform Administration (MCO/MCS), with a strong focus on AI/ML infrastructure.
• Imperative Technical & AI Expertise:
• Mastery of containerization and orchestration technologies (Kubernetes, Docker). A certification (e.g., CKA, CKAD, RedHat OpenShift) is a major asset.
• Knowledge of AI / Machine Learning architectures and ideally GPU compute resource orchestration (e.g., NVIDIA Kubernetes Device Plugin, KubeFlow, Triton Inference Server).
• Solid experience in deploying infrastructure on highly secure private, hybrid, and Cloud environments.
• Proven practice in automation, CI/CD pipelines, and scripting (Python, Bash).
• Experience with observability and monitoring tools (Prometheus, Grafana, ELK).
• Agility & Soft Skills:
• Proven experience with Agile methodologies (Scrum / Kanban) and associated project management tools (Jira, Confluence).
• Collaborative spirit, operational rigor, and ease in communicating/presenting technical solutions to various stakeholders.
• Pioneer of GenAI Tech: Passion for modern infrastructure dedicated to Large Language Models (LLM) and GPU hardware acceleration.
• SecOps & Sovereignty Culture: Constant reflex to integrate security, data privacy, and governance rules from the design phase (Security by Design).
• Product Mindset & Pedagogy: Ability to transform complex system constraints into simple and attractive service offerings for internal users.
• Transport pass reimbursement up to 75%.
• Meal vouchers subsidized by STORM GROUP at 50% (€10.5 / day).
• Gymlib / Wellpass access (sports and well-being).
• Health / Provident Fund plan with Alan.
• Continuous training: Access to Udemy Business and support for reference certifications (CKA/CKAD Kubernetes, Cloud/AI Certifications, NVIDIA).
• Co-optation bonus, profit-sharing, and participation bonus.
• Work schedule: Hybrid remote work with regular presence at the client site and management of scheduled on-call duties.
• Tailored Career Path: Co-create a unique professional trajectory, adapted to your ambitions.
• Strategic Missions: Work on large-scale projects, perfectly aligned with your expertise.
• Dedicated Support: Benefit from structured annual reviews to ensure your continuous progress.
• Continuous Excellence: Develop your skills daily within a demanding ecosystem.
• Sustainable Performance: Thrive in an environment where business demands respect your work-life balance.
• Introductory call with a recruitment manager.
• Technical interview with in-depth technical assessment (Practical case of GPU resource orchestration under Kubernetes, CI/CD pipeline automation for a GenAI service, MCO/MCS incident management, and Agile approach).
• Final meeting to validate fit and project outlook.

Project details

• Start: ASAP
• Duration: 1 mois
• Remote: hybrid
• Location: 75002, Paris, Île-de-France, FR
• Languages: French