Cloud / DevOps Engineer (AI Infrastructure)
Pubblicato il 15-10-2026 - The Italian Institute of Artificial Intelligence (AI4I) in Piemonte
The Italian Institute of Artificial Intelligence (AI4I) is seeking a senior, hands-on Cloud / DevOps Engineer to design, build, and operate the cloud foundation of its HPC/AI infrastructure.
Location: AI4I, OGR - Turin, Italy
Hybrid work: Flexible arrangements may be negotiated
The position will remain open until filled and multiple candidates may be hired.
About The Role
As Cloud / DevOps Engineer at AI4I, you will take ownership of the end-to-end cloud infrastructure, from architecture and automation to day-to-day operations and continuous improvement.
Beyond compute orchestration, this role includes responsibility for the design and operational management of distributed storage systems that support AI and HPC workloads. You will ensure that storage performance, durability, and scalability meet the needs of GPU-intensive training, fine-tuning, and inference environments.
This is a cross-unit role supporting multiple AI4I teams and projects, working closely with engineering, deployment, and compute specialists.
You Will Work Closely With
- AI4I Deployment and Engineering teams, enabling production-grade AI services
- HPC / AI engineers, integrating cloud and compute environments
- External technology partners and vendors
- Internal stakeholders delivering industrial AI projects
This is a strongly execution-oriented role, combining Cloud engineering, DevOps practices, storage architecture, and operational responsibility. You will help build a robust, scalable, and secure infrastructure that supports both current deployments and future growth.
Key Responsibilities
- Design, deploy, and operate AI4I's private cloud infrastructure, with strong ownership of OpenStack environments
- Lead the evolution toward container-based environments leveraging tools such as Kubernetes, Rancher, and Harvester, enabling Container-as-a-Service capabilities
- Design, deploy, and manage distributed and software-defined storage systems supporting HPC and AI workloads, ensuring hi