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Graphcore

Delivers IPU-powered AI cloud services

Staff Cloud Engineer

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A relevant degree or equivalent practical experience, with proven ability to scope and deliver technical infrastructure work.
  • Experience operating on-premises or private-cloud environments, with strong ownership of end-user availability.
  • Strong Linux system administration and scripting skills, including Bash and Python.
  • Hands-on experience deploying services with Infrastructure-as-Code, using tools such as Terraform/OpenTofu, Ansible or Packer.
  • Practical understanding of cloud foundations, including virtualisation, virtual networks, block storage, monitoring and observability.
  • Experience using Git, CI or testing pipelines and container tools, with clear communication when supporting users.

Responsibilities

  • 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 while helping pre-release hardware and software become reliable cloud services.

About the Company

Graphcore

Delivers IPU-powered AI cloud services

Graphcore.ai focuses on building and delivering Intelligence Processing Units (IPUs) and related AI services for enterprises. It provides IPU-powered cloud services, pre-trained AI models, optimized inference engines, and APIs on a subscription basis with on-demand pricing and free tiers through cloud partners. The IPUs accelerate AI workloads and enable scalable, cost-efficient AI deployment in enterprise applications. The company differentiates itself through specialized IPU hardware and optimized software stack, plus partnerships with cloud providers to reach customers, rather than relying on generic hardware. The goal is to help businesses scale AI-powered products and operations efficiently by offering flexible, scalable compute and ready-to-use AI components.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$1.1B
Headquarters
Bristol, United Kingdom
Founded
2016

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