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source · wttj·req · jb_75c8b0d567·listed 5h ago

Senior Cloud Engineer

Graphcore·London, United Kingdom·Hybrid·Full-time
Sourced listing · wttjNo salary disclosed
Posted
6 August 2026
via wttj
Type
Full-time
Arrangement
Hybrid
United Kingdom
Deadline
5 September 2026
closes in 30d
compensation · not disclosed
Salary not shared
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Summary

the pitch

Join Graphcore, a leading AI technology company, as a Senior Cloud Engineer. In this role, you will develop and operate private cloud services, supporting large-scale AI systems built from Graphcore hardware. You will use Infrastructure-as-Code, observability, and automation to deploy, test, and improve cloud infrastructure. This is a hands-on engineering position with real ownership, where you will work closely with software, datacentre, and product teams. Enjoy a flexible work-life balance, private medical insurance, a pension plan, and opportunities for career progression and personal development.

Role

posted by company
  • Bachelor's degree or equivalent practical experience in a relevant subject
  • Strong Linux scripting and system administration skills across bash, Python, awk, sed, Ubuntu, RHEL and variants
  • Solid software engineering or IT experience, with proven delivery as an individual contributor
  • Hands-on understanding of cloud services, virtualisation, networks, storage, monitoring and observability
  • Experience managing on-premises or private-cloud environments
  • While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate
  • Experience with Git, CI pipelines and Infrastructure-as-Code tools such as Terraform/OpenTofu, Ansible or Packer

Key responsibilities

  • Develop and operate private cloud services for Graphcore teams and users, turning product and user requirements into reliable, deployed services.
  • Utilize Infrastructure-as-Code, observability, and automation to deploy, test, and improve cloud infrastructure, while working with datacentre, software, and product teams.
  • Collaborate across Software Platform, Datacentre Operations, and Product Development to shape decisions based on technical evidence, user needs, and operational realities.