Research Infrastructure Developer

UK Dementia Research Institute; Greater London; Hybrid; GBP 44,000 - 54,000; Full time

Benefits offered by this job

41 Days holiday

Relocation scheme

On-site gym

CARE pension

Job summary

University College London (UCL) invites applications for a role delivering AI infrastructure and research computing support within the ARC. You will maintain reliable infrastructure, assist researchers with issues, monitor performance and help grow operational processes.

The candidate should have strong Linux, HPC, scripting and Kubernetes skills, with experience in GPU-enabled workflows and clear communication with researchers. Hybrid working with at least 20% on site is offered.

Qualifications

• Experience working in Linux environments.
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Responsibilities

• Provide first-line support to researchers.
• Troubleshoot Linux environments, Kubernetes clusters, AI platforms and GPU-enabled services.
• Assist with platform administration and maintenance.
• Monitor service performance, reliability and utilisation.
• Help define and implement metrics, procedures and support processes.
• Collaborate with researchers to improve experience.
• Contribute to documentation and continuous service improvement.

Skills

Linux environments

Research computing

Scripting

Troubleshooting

AI infrastructure

Kubernetes

GPU-enabled systems

Monitoring

Service management

Technical communication

Tools

Kubernetes

GPU scheduling

Containerisation

Monitoring tools

Job description

UCL is a multi-disciplinary university with a population of over 13,000 staff and 42,000 students from 150 different countries. For more information seewww.ucl.ac.uk/about .

The UCL Centre for Advanced Research Computing (ARC) is UCL’s institute for infrastructure and innovation in digital research. We are an innovative hybrid: a professional services department that delivers reliable and secure infrastructure and services to UCL research groups, and a laboratory for research and innovation. We are a home for the research technology professionals - research software engineers, HPC systems engineers, dev-ops specialists, data scientists and data stewards - who support and collaborate in the delivery of UCL research.

Further information about working in ARC can be found on our website https://www.ucl.ac.uk/arc .

About the role

We are seeking a motivated individual with an interest in AI infrastructure and a background in research computing, high-performance computing (HPC), or related technical environments. This role is focused on helping researchers effectively use AI and computational infrastructure, providing direct technical support and guidance to researchers. You will play a key role in maintaining reliable infrastructure, assisting users with technical issues, monitoring system performance, and contributing to the development of operational processes and service metrics.

Salary range is £43,981 to £54,019 (including London Allowance) depending on experience.

This role is eligible for hybrid working with a minimum of 20% on site.

Key responsibilities:

• Provide first-line support to researchers
• Troubleshooting Linux environments, Kubernetes clusters, AI platforms, GPU-enabled services, and research workloads
• Assist with platform administration and maintenance
• Monitor service performance, reliability, and utilisation
• Help define and implement metrics, procedures, and support processes
• Work closely with researchers to understand and improve experience
• Contribute to documentation, knowledge sharing, and continuous service improvement.

About you

The successful candidate will need to demonstrate the following criteria.

• Experience working in Linux environments
• Background in research computing, HPC, or a related technical field
• Programming skills for scripting, automation, troubleshooting, and operational support Strong problem-solving skills and applying these to support researcher needs
• Ability to communicate technical concepts effectively to researchers and non-specialists
• Ability to support organisation of webinars and remote and in person training activities
• Knowledge of AI/ML infrastructure and workflows
• Experience with GPU-enabled systems and scheduling technologies, Kubernetes and containerised environments
• Familiarity with monitoring, performance analysis, and service management practices
• Experience developing operational metrics and support processes.

Please see the attached job description and person specification for full details. If you have any queries regarding the vacancy or application process, please contact Mrs. Jodie Jackson, via e-mail ([e-mail]).

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:

• 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
• Additional 5 days’ annual leave purchase scheme
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• Relocation scheme for certain posts
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service

Our commitment to Equality, Diversity and Inclusion

As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.

We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce.

These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.

We are committed to advancing gender equality within our department.

You can read more about our commitment to Equality, Diversity and Inclusion here : https://www.ucl.ac.uk/equality-diversity-inclusion/

Attached documents are available under links. Clicking a document link will initialize its download.