Cloud / DevOps Engineer (AI Infrastructure)
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 high-performance block, object, and file services integrated with GPU clusters
Optimize storage performance, data durability, replication strategies, and overall resource utilization for compute-intensive workloads
Implement infrastructure automation and CI/CD practices (Infrastructure-as-Code) for reliable and reproducible operations
Define and enforce operational standards, including monitoring, alerting, backup, disaster recovery, and incident response
Support internal engineering teams by providing reliable infrastructure, documentation, and best practices
Contribute to infrastructure architecture decisions and long-term evolution of the AI4I cloud
Required Qualifications
Strong hands-on experience operating and troubleshooting OpenStack production environments
Proven experience managing container orchestration environments (e.g., Kubernetes) in production settings
Solid hands-on experience with distributed and software-defined storage systems in HPC or cloud environments
Strong Linux system administration and networking fundamentals
Experience automating infrastructure using Infrastructure-as-Code and CI/CD practices
Demonstrated experience operating mission-critical production services with uptime, reliability, and incident response responsibility
Additional Strengths (from Candidate Profile)
Experience with Rancher or Harvester
Experience integrating cloud environments with GPU/HPC workloads
Experience operating multi-tenant cloud environments
Experience with monitoring and observability stacks (Prometheus, Grafana, ELK, etc.)
Security hardening and identity management in private cloud environments
Experience supporting internal engineering teams
Key Performance Metrics
Infrastructure availability and reliability
Mean time to detect and resolve incidents
Infrastructure automation coverage
Time required to onboard new internal projects or users
Resource utilization efficiency of the infrastructure
What We Offer
A collaborative environment with engineers and researchers working on real industrial AI deployments
Direct impact: your infrastructure will run daily AI workloads and production systems
An office at the epicenter of tech: OGR Torino technology hub
Competitive compensation and access to advanced computing infrastructure
Salary range: €40,000-€60,000 gross/year (depending on experience)
About Us
The Italian Institute for Artificial Intelligence (AI4I) was founded as a research institute to perform transformative, application-oriented research in Artificial Intelligence, driving innovation and industrial progress. The Institute is designed to engage and empower gifted, entrepre
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 high-performance block, object, and file services integrated with GPU clusters
Optimize storage performance, data durability, replication strategies, and overall resource utilization for compute-intensive workloads
Implement infrastructure automation and CI/CD practices (Infrastructure-as-Code) for reliable and reproducible operations
Define and enforce operational standards, including monitoring, alerting, backup, disaster recovery, and incident response
Support internal engineering teams by providing reliable infrastructure, documentation, and best practices
Contribute to infrastructure architecture decisions and long-term evolution of the AI4I cloud
Required Qualifications
Strong hands-on experience operating and troubleshooting OpenStack production environments
Proven experience managing container orchestration environments (e.g., Kubernetes) in production settings
Solid hands-on experience with distributed and software-defined storage systems in HPC or cloud environments
Strong Linux system administration and networking fundamentals
Experience automating infrastructure using Infrastructure-as-Code and CI/CD practices
Demonstrated experience operating mission-critical production services with uptime, reliability, and incident response responsibility
Additional Strengths (from Candidate Profile)
Experience with Rancher or Harvester
Experience integrating cloud environments with GPU/HPC workloads
Experience operating multi-tenant cloud environments
Experience with monitoring and observability stacks (Prometheus, Grafana, ELK, etc.)
Security hardening and identity management in private cloud environments
Experience supporting internal engineering teams
Key Performance Metrics
Infrastructure availability and reliability
Mean time to detect and resolve incidents
Infrastructure automation coverage
Time required to onboard new internal projects or users
Resource utilization efficiency of the infrastructure
What We Offer
A collaborative environment with engineers and researchers working on real industrial AI deployments
Direct impact: your infrastructure will run daily AI workloads and production systems
An office at the epicenter of tech: OGR Torino technology hub
Competitive compensation and access to advanced computing infrastructure
Salary range: €40,000-€60,000 gross/year (depending on experience)
About Us
The Italian Institute for Artificial Intelligence (AI4I) was founded as a research institute to perform transformative, application-oriented research in Artificial Intelligence, driving innovation and industrial progress. The Institute is designed to engage and empower gifted, entrepre