Staff Cloud Engineer

Навыки

• Ansible
• Bash / shell
• Git
• Linux
• Мониторинг и observability
• OpenStack
• Ответственность за результат

О компании и продукте

• Build the cloud platform that turns Graphcore AI systems into usable, scalable services.
• Graphcore needs a Bristol-based Staff Cloud Engineer to develop and deploy private and public cloud services for AI compute. You will join the Cloud Platform team within Software Platform, close to datacentre operations and product development.
• Your work will shape how internal users and customers access large-scale AI systems. You will keep critical infrastructure available while helping pre-release hardware and software become reliable cloud services.
• You will operate and extend OpenStack-based services, automate deployment with infrastructure-as-code, and improve observability across the fleet. You will benchmark, validate and optimise systems spanning Graphcore hardware, servers, switches and storage.

Требования

• 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
• 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

Условия

• 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
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover
• Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn
• We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work
• We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives
• If you need any adjustments during the interview process, just let us know - we’re happy to support you
• Sponsorship
• Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role
• Join the Team at 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
• Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone
• Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives
• A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute

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