Graduate Cloud Platform Engineer

Graphcore; Bristol; On-site; GBP 35,000 - 55,000; Full time

Benefits offered by this job

Pension matching up to 5%

Phantom equity

Private medical insurance

Dental cover

Cycle to work scheme

EV salary sacrifice

Flexible benefits

Job summary

Graphcore's two-year Graduate Cloud Platform Engineer programme develops practical experience across Linux, cloud technologies, networking, storage, observability, OpenStack, Kubernetes, CI/CD and Infrastructure-as-Code. You'll learn to automate, troubleshoot and communicate findings while supporting internal teams and cloud customers.

The role emphasises hands-on work with logs, metrics and platform decisions impacting users, with opportunities to grow technical judgement and collaboration

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, IT, Electronic Engineering or related subject, by summer 2027 or within two years before start.
• Experience using Linux command line with scripting or programming (Python or Bash).
• Familiarity with Git or another version-control system, with documentation and code review approach.
• Methodical troubleshooting and ability to communicate findings and collaborate with others.

Responsibilities

• Develop, deploy and operate services across Graphcore's AI infrastructure.
• Write automation, investigate issues, and analyse logs and metrics.
• Validate AI hardware and the supporting infrastructure; learn how Linux, networking, storage and cloud services fit together.

Skills

Linux command line

Python/Bash scripting

Git/version control

Documentation & code review

Troubleshooting methodically

Communication skills

Cloud infra interest

Education

Bachelor's degree in CS/Engineering

Tools

OpenStack

Kubernetes

CI/CD tooling

Job description

As a Graduate Cloud Platform Engineer, you'll help develop, deploy and operate services across Graphcore's high-performance AI infrastructure. Your work will support the systems used by internal teams and Graphcore cloud customers. We believe technology should expand human potential and make progress more accessible. You'll write automation, investigate issues, analyse logs and metrics, and help validate AI hardware and the infrastructure around it. It's a chance to see how Linux, networking, storage and cloud services fit together and contribute to the platforms that make large-scale AI possible.
How you'll learn and grow During the two-year programme, you'll build practical experience in Linux, cloud technologies, networking, storage, observability, OpenStack , Kubernetes, continuous integration and delivery (CI/CD), and Infrastructure-as-Code. Hands-on automation and troubleshooting will help you understand how these systems fit together and develop a methodical approach to investigating issues. You'll learn to use logs and metrics to test your thinking and explain what you find. Working with engineers, researchers and Datacentre Operations will help you understand how platform decisions affect the people using these services and develop your technical judgement and communication skills.

• A bachelor's degree in Computer Science, Software Engineering, IT, Electronic Engineering or a related subject, completed by summer 2027 or within the two years before the programme starts
• Practical experience using the Linux command line, with scripting or programming skills such as Python or Bash
• Familiarity with Git or another version-control system, with a clear approach to documentation and code review
• A methodical approach to troubleshooting and the ability to communicate your findings and work with others

You'll be curious about cloud infrastructure, platform engineering or computer systems, with an interest in areas such as networking, storage, containers or observability. You can demonstrate these skills through coursework, a dissertation, personal or team projects, open-source work, placements or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned., Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities.

At Graphcore, we're building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You'll learn from each other, bring fresh ideas and help solve challenging problems together.

• Flexible working: Balance your work and personal life with greater flexibility
• 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
• Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice
• 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.