Cloud / devops engineer (ai infrastructure)
Pubblicato il 30-08-2026 - AI4I in Italia
Organisation/Company AI4 I Research Field Engineering » Computer engineering Researcher Profile Other Profession Positions Master Positions Application Deadline 5 Mar 2027 - 12:59 (Europe/Rome) Country Italy Type of Contract To be defined Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?
No Offer Description The Italian Institute of Artificial Intelligence (AI4 I) is seeking a senior, hands‐on Cloud / Dev Ops 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 Open Stack-based private cloud infrastructure and the evolution toward container‐based environments such as Kubernetes, Rancher, and Harvester.
This role is central to AI4 I's industrial deployment mission: you will create and operate the infrastructure that powers real AI projects for enterprises, public institutions,
and strategic partners.
Location:
AI4 I, OGR – Turin, ItalyHybrid work: Flexible arrangements may be negotiatedThe position will remain open until filled and multiple candidates may be hired.
About the Role
As Cloud / Dev Ops Engineer at AI4 I, 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 AI4 I teams and projects, working closely with engineering, deployment, and compute specialists. You will work closely with: AI4 I Deployment and