Cloud / DevOps Engineer (AI Infrastructure)
Pubblicato il 02-09-2026 - AI4I Foundation 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.You will own the Cloud layer that enables AI and HPC workloads to run reliably at scale, with a strong focus on OpenStack-based private cloud infrastructure and the evolution toward container-based environments such as Kubernetes, Rancher, and Harvester.
This role is central to AI4I’s industrial deployment mission: you will create and operate the infrastructure that powers real AI projects for enterprises, public institutions, and strategic partners.
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 RoleAs 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 deploym