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Open nowPosted 159 days ago

AI Infrastructure Engineer (Storage)

Workable (global search)108,016 open roles

Where
Cambridge, England, United Kingdom
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Your applicationOpen nowAI Infrastructure Engineer (Storage)Workable (global search) · Cambridge, England, United Kingdom
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  2. 3.6%3 days
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  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 159 days ago

Workable (global search) median: 7 days open

The posting

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.

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