AI Infrastructure Engineer (Storage)

CommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast.

We support technology-focused start ups, each with unique data management challenges, and are seeking an experienced Infrastructure Engineer to help them design, deploy and maintain high-performance storage systems for their AI and data-driven workloads. The successful candidate will combine deep experience architecting and managing distributed, cloud, and tiered storage solutions with strong Linux and automation skills.

In this role you will:

• Design, implement, and maintain storage platforms that support large-scale AI and data pipelines
• Manage distributed storage systems such as Ceph, Lustre, or BeeGFS.
• Oversee tiered storage architectures, optimising data movement across high-performance, object, and archival tiers.
• Ensure data integrity, availability, and security across on-premises and cloud environments.
• Develop automation and monitoring tools using Bash, Python, or similar scripting languages.
• Manage and secure container images and related storage used for AI and ML workloads.
• Integrate storage systems with public cloud services (AWS, Azure, GCP) and hybrid environments.
• Troubleshoot complex storage and data flow issues, collaborating closely with AI platform and infrastructure teams.
• Contribute to ongoing architecture improvements, performance tuning, and capacity planning.