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# cloud engineer for AI compute

- **Company:** Coveradditional
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Bash Shell, Cloud Engineering, Data Centers, Linux System Administration, OpenStack, Cloud Services, Virtualization Technology, Scripting, Cloud Platform System, Git, Block Storage
- **Published:** August 22, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/cloud-engineer-for-ai-compute/44739756

## About the Role

risks early and own corrective actions when systems need attentionТребованияRelevant degree or equivalent practical experienceProven ability to scope and deliver technical infrastructure workExperience operating on-premises or private-cloud environmentsStrong ownership of end-user availabilityStrong Linux system administration and scripting skillsExperience with Bash and PythonHands-on experience deploying services with Infrastructure-as-CodePractical understanding of cloud foundations, including virtualisation, virtual networks, block storage, monitoring and observabilityExperience using Git, CI or testing pipelines and container toolsClear communication when supporting usersLegal right to work in the UKУсловияFlexible workingGenerous leaveUp to 5% matched pensionPhantom equityOffice spaces with free food and an on-site baristaIncome protection and life assuranceOptional private medical insurance and dental coverAdditional benefits include a health cash plan, cycle to work scheme and give
as you earnVisa sponsorship and support for visa applications are not provided #J-18808-Ljbffr

## Description

Описание: Graphcore develops hardware, software and systems infrastructure for AI compute, enabling scalable AI solutions and supporting the adoption of AI across industries.ЗадачиBuild the cloud platform that turns Graphcore AI systems into usable, scalable servicesDevelop and deploy private and public cloud services for AI computeOperate and extend OpenStack-based servicesAutomate deployment with infrastructure-as-codeImprove observability across the fleetBenchmark, validate and optimise systems spanning Graphcore hardware, servers, switches and storageKeep critical infrastructure availableHelp pre-release hardware and software become reliable cloud servicesShape how internal users and customers access large-scale AI systemsWork with Software Platform, Datacentre Operations, Product Development, Engineering and QATake responsibility for unclear problems and make progress without waiting for perfect inputsUse metrics, benchmarks, user impact and system behaviour to support decisionsSurface


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