12432 - Systems Administration Apprenticeship
| Posting date: | 22 May 2025 |
|---|---|
| Salary: | £25,733 to £28,381 per year |
| Hours: | Full time |
| Closing date: | 19 June 2025 |
| Location: | Penicuik, Midlothian |
| Remote working: | Hybrid - work remotely up to 4 days per week |
| Company: | University of Edinburgh |
| Job type: | Contract |
| Job reference: | 12432 |
Summary
Grade UE04: £25,733 - £28,381 per annum
College of Science & Engineering / Edinburgh Parallel Computing Centre (EPCC)
Full-time: 35 hours per week
Fixed-term: 24 months
EPCC is offering the opportunity to join our team for a two-year Systems Specialist apprenticeship.
The Opportunity:
EPCC is the UK’s leading centre for supercomputing and data science service provision. We host and manage a unique collection of leading-edge systems such as the UK’s national supercomputing service (ARCHER2) and the Edinburgh International Data Facility (EIDF). We provide researchers and industry with a range of services including high performance computing, powerful private cloud-based virtual desktops, AI-capable GPU and Cerebras wafer-scale clusters and highly secure data storage and analysis capability for trusted research environments.
Our apprentices join the small and friendly Systems team within EPCC that provides infrastructure deployment and support, system administration, cybersecurity and operations functions for the systems hosted at the University of Edinburgh's Advanced Computing Facility (ACF), a secure state-of-the-art data centre located at the Bush Estate on the outskirts of Edinburgh.
EPCC has a long and successful history of providing apprenticeships and is committed to providing training, development and coaching to enable apprentices to succeed in their studies and early careers.
Apprenticeships are full time (35 hours per week), including up to one day per week study allowance, and are most suitable for candidates wishing to complete a degree in the field of Computing and IT as a Graduate Apprentice. Apprentices are based at the ACF and the Bayes Centre in the University of Edinburgh’s central campus.
Your skills and attributes for success:
Vocational qualifications (N/SVQ 2/3, ONC or equivalent) and/or at least two years’ progress towards a relevant degree in computing or IT.
A keen interest in emerging computer technologies, and an enthusiasm for broadening knowledge about computing, IT, data centres, networks, cybersecurity, etc.
A good, demonstrable working knowledge of managing different operating systems and support in a networked environment, and interest in developing skills in, e.g., Linux server administration, shell scripting, slurm, Ansible, Kubernetes, Wazuh.
An enthusiasm for learning and applying specialist skills to solve technically complex problems and generate innovative solutions to operational and development challenges.
A commitment to providing outstanding service to users and colleagues, resolving queries and incidents and driving continual improvement in operational processes, including use of automation.
Excellent organisational and task management skills to balance work and study commitments, and drive to independently follow tasks through to successful completion while responding positively to changes in priorities.
Excellent communication, collaborative and interpersonal skills, with the ability to work effectively with cross-functional teams, including technical, academic and research colleagues.
College of Science & Engineering / Edinburgh Parallel Computing Centre (EPCC)
Full-time: 35 hours per week
Fixed-term: 24 months
EPCC is offering the opportunity to join our team for a two-year Systems Specialist apprenticeship.
The Opportunity:
EPCC is the UK’s leading centre for supercomputing and data science service provision. We host and manage a unique collection of leading-edge systems such as the UK’s national supercomputing service (ARCHER2) and the Edinburgh International Data Facility (EIDF). We provide researchers and industry with a range of services including high performance computing, powerful private cloud-based virtual desktops, AI-capable GPU and Cerebras wafer-scale clusters and highly secure data storage and analysis capability for trusted research environments.
Our apprentices join the small and friendly Systems team within EPCC that provides infrastructure deployment and support, system administration, cybersecurity and operations functions for the systems hosted at the University of Edinburgh's Advanced Computing Facility (ACF), a secure state-of-the-art data centre located at the Bush Estate on the outskirts of Edinburgh.
EPCC has a long and successful history of providing apprenticeships and is committed to providing training, development and coaching to enable apprentices to succeed in their studies and early careers.
Apprenticeships are full time (35 hours per week), including up to one day per week study allowance, and are most suitable for candidates wishing to complete a degree in the field of Computing and IT as a Graduate Apprentice. Apprentices are based at the ACF and the Bayes Centre in the University of Edinburgh’s central campus.
Your skills and attributes for success:
Vocational qualifications (N/SVQ 2/3, ONC or equivalent) and/or at least two years’ progress towards a relevant degree in computing or IT.
A keen interest in emerging computer technologies, and an enthusiasm for broadening knowledge about computing, IT, data centres, networks, cybersecurity, etc.
A good, demonstrable working knowledge of managing different operating systems and support in a networked environment, and interest in developing skills in, e.g., Linux server administration, shell scripting, slurm, Ansible, Kubernetes, Wazuh.
An enthusiasm for learning and applying specialist skills to solve technically complex problems and generate innovative solutions to operational and development challenges.
A commitment to providing outstanding service to users and colleagues, resolving queries and incidents and driving continual improvement in operational processes, including use of automation.
Excellent organisational and task management skills to balance work and study commitments, and drive to independently follow tasks through to successful completion while responding positively to changes in priorities.
Excellent communication, collaborative and interpersonal skills, with the ability to work effectively with cross-functional teams, including technical, academic and research colleagues.