Cloud / DevOps Engineer (AI Infrastructure)

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/793doh

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.

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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 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 xkiyazw 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

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

How to Apply

Submit your application exclusively through the online form:

Cover letter (max. 1 page) describing how your profile fits this specific position

CV and optional links to technical projects or operational experience

AI4I The Italian Institute of Artificial Intelligence (AI4I)

Corso Castelfidardo 22, 10129 Torino

Codice fiscale 97904430010

Partita IVA: 13130030011

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/793doh