Staff Cloud Engineer

Contract type
Ongoing
Work mode
Remote · United Kingdom
Experience
Lead / principal · Not stated

Level inferred from job title

Job description

Staff Cloud Engineer on the Cloud Platform team, developing and deploying private and public cloud services for Graphcore AI compute. The role owns hard infrastructure problems, keeping critical infrastructure available while turning pre-release hardware and software into reliable cloud services.

At a glance

Employment
Full-time · Employee (employment agreement)
Work mode
Remote · United Kingdom

What you'll do

  • 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
  • Deploy, measure and improve services directly, working close to the 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
  • Make decisions from evidence: metrics, benchmarks, user impact and system behaviour
  • Surface risks early and own corrective actions when systems need attention

What we're looking for

  • 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
  • Applicants must have the legal right to work in the UK

Your team

Cloud Platform team (within Software Platform)

The Cloud Platform team turns Graphcore products into large-scale AI solutions for internal users and customers. Work happens close to the systems, with engineers deploying, measuring and improving services directly.

Benefits

Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day

Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover

  • Flexible working: Balance your work and personal life with greater flexibility
  • Generous leave: Take time to rest, recharge and enjoy life outside of work
  • Retirement planning support: Up to 5% matched pension
  • Phantom equity: Share in Graphcore's success
  • Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
  • Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn

Apply

Direct apply at Graphcore

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About Graphcore

Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies.

Mission

To enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Key facts

  • Artificial Intelligence compute
  • Part of the SoftBank Group
  • Teams include AI research specialists, silicon designers, software engineers and systems architects
  • Applicants must have the legal right to work in the UK; no visa sponsorship available

What they value

  • Take responsibility for unclear problems and make progress without waiting for perfect inputs
  • Make decisions from evidence: metrics, benchmarks, user impact and system behaviour
  • Engineers speak up, surface risks early and own corrective actions
  • Inclusive environment where everyone can do their best work