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

Requirements

• Strong Linux system administration background
• Proven experience installing, configuring, and maintaining Ceph clusters or similar technologies in a production environment
• Familiarity with distributed filesystems (e.g., Lustre, BeeGFS) and cloud-based storage services (e.g. EC2)
• Experience with tiered storage management and lifecycle data policies
• Scripting and automation proficiency (e.g. Bash, Python, Terraform/OpenTofu, Ansible)
• Understanding of data security best practices and compliance considerations
• Experience working with container technologies (e.g. Docker, Kubernetes) and image storage registries
• Strong analytical, troubleshooting, communication and documentation skills

We also value:

• Knowledge of GPU compute environments or AI training infrastructure
• Experience with monitoring and observability tools (Prometheus, Grafana, etc.)
• Contributions to open-source storage, data management, or infrastructure projects
• Familiarity with object storage systems (S3, RADOS Gateway, MinIO, etc.)

Benefits

• A collaborative and supportive work environment
• The opportunity to have a high impact in a growing organisation
• Competitive salary package and pension
• Professional development opportunities
• Networking opportunities with influential people from across the tech sector and academia
• A vibrant office environment located a few minutes walk away from Cambridge train station

CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace. #J-18808-Ljbffr