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.
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.).
- 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.
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