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 To be considered candidates should meet most of the following 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.