cloud engineer for AI compute

Enfint
Greater London, UK
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work

Tech stack

Artificial Intelligence Computing Platforms Bash Shell Cloud Engineering Data Centers Monitoring of Systems Python (Programming Language) Linux System Administration OpenStack Cloud Services Virtualization Technology Scripting
+4 more
Cloud Platform System Git Deployment Automation Block Storage

Job description

Описание: Graphcore develops hardware, software and systems infrastructure for AI compute, enabling scalable AI solutions and supporting the adoption of AI across industries., * Build the cloud platform that turns Graphcore AI systems into usable, scalable services

  • Develop and deploy private and public cloud services for AI compute
  • Operate and extend OpenStack-based services
  • Automate deployment with infrastructure-as-code
  • Improve observability across the fleet
  • Benchmark, validate and optimise systems spanning Graphcore hardware, servers, switches and storage
  • Keep critical infrastructure available
  • Help pre-release hardware and software become reliable cloud services
  • Shape how internal users and customers access large-scale AI systems
  • Work with Software Platform, Datacentre Operations, Product Development, Engineering and QA
  • Take responsibility for unclear problems and make progress without waiting for perfect inputs
  • Use metrics, benchmarks, user impact and system behaviour to support decisions
  • Surface risks early and own corrective actions when systems need attention

Requirements

  • Relevant degree or equivalent practical experience
  • Proven ability to scope and deliver technical infrastructure work
  • Experience operating on-premises or private-cloud environments
  • Strong ownership of end-user availability
  • Strong Linux system administration and scripting skills
  • Experience with Bash and Python
  • Hands-on experience deploying services with Infrastructure-as-Code
  • Practical understanding of cloud foundations, including virtualisation, virtual networks, block storage, monitoring and observability
  • Experience using Git, CI or testing pipelines and container tools
  • Clear communication when supporting users
  • Legal right to work in the UK

Benefits & conditions

  • Flexible working
  • Generous leave
  • Up to 5% matched pension
  • Phantom equity
  • Office spaces with free food and an on-site barista
  • Income protection and life assurance
  • Optional private medical insurance and dental cover
  • Additional benefits include a health cash plan, cycle to work scheme and give as you earn
  • Visa sponsorship and support for visa applications are not provided

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