Research Infrastructure Developer

University College London; Greater London; Hybrid; GBP 39,000 - 62,000; Full time

Benefits offered by this job

London Allowance

Hybrid work

41 days holiday

Pension scheme

Cycle to work

Relocation loans

On-site nursery

Gym access

Job summary

University College London invites applications for a role within the Centre for Advanced Research Computing (ARC) to provide first-line support for researchers, troubleshoot Linux environments, Kubernetes, AI platforms and GPU-enabled services, and help shape robust platform operations.

The successful candidate will collaborate with researchers, contribute to documentation, and help implement metrics and support processes, with hybrid working including on-site presence in London.

Qualifications

• 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 the ability to apply them to support researcher needs.
• Ability to communicate technical concepts effectively to researchers and non-specialists.
• Ability to support the 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.

Responsibilities

• Provide first-line support to researchers.
• Troubleshoot 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 their experience.
• Contribute to documentation, knowledge sharing, and continuous service improvement.

Skills

Linux

Scripting

Kubernetes

AI/ML infra

GPU systems

Monitoring

Service mgmt

Research HPC

Communication

Tools

Kubernetes

Job description

Salary: £39,000 - 62,000 per year

Requirements

• 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 the ability to apply them to support researcher needs
• Ability to communicate technical concepts effectively to researchers and non-specialists
• Ability to support the 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

Responsibilities

• Provide first-line support to researchers
• Troubleshoot 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 their experience
• Contribute to documentation, knowledge sharing, and continuous service improvement

Technologies

• AI
• Support
• Kubernetes
• Linux
• DevOps
• Jackson

More

We are UCL, a multi-disciplinary university with over 13,000 staff and 42,000 students from 150 countries. Our Centre for Advanced Research Computing (ARC) is our institute for infrastructure and innovation in digital research, combining professional services with a laboratory for research and innovation. We are home to research technology professionals including research software engineers, HPC systems engineers, dev-ops specialists, data scientists, and data stewards who support and collaborate in delivering UCL research. This role offers a salary of 43,981 to 54,019 including London Allowance depending on experience, hybrid working with a minimum of 20% on site, and a range of benefits including 41 days holiday, additional annual leave purchase, a defined benefit pension scheme, cycle to work and season ticket loan, relocation and immigration loans for certain posts, on-site nursery and gym, enhanced family leave, employee assistance support, and discounted medical insurance.

We are committed to equality, diversity and inclusion and encourage applications from underrepresented groups.