AI Infrastructure Engineer (Storage)
Salary context for this role
JobGrid.eu combines visible employer pay, official public benchmarks, and current JobGrid listings for DevOps / SRE.
Similar listings
GBP 85,000 - 405,000 / yearBased on 11 current public JobGrid listings with comparable role and location signals.
- Source
- JobGrid.eu public listings
- Geography
- Country-level
- Match quality
- High confidence comparable role
- Data period
- Current active listings
- Sample size
- 11
- Latest listing
- May 8, 2026
- Checked by JobGrid
- May 13, 2026
JobGrid listing details
JobGrid.eu keeps the employer description in its original language and adds clear listing facts, freshness, and source context so candidates can evaluate the role before applying.
- Key details
- 1 location, IT, DevOps / SRE, On-site, Senior, Full time
- Current openings
- 3 active jobs
- Original language
- English
- Source and freshness
- Collected from public career pages and reviewed through JobGrid.eu source availability checks. Last verified: May 13, 2026.
- Apply path
- JobGrid.eu sends candidates to the original application page and adds non-personal referral parameters.
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.