Senior Research Infrastructure Analyst

Tate Recruitment; Southampton; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Tate Recruitment is seeking a Senior Research Infrastructure Engineer to lead delivery of advanced research computing services at a prominent research-led organisation. The role blends hands-on technical work with leadership, shaping future platforms and supporting AI and data-intensive projects.

You will work closely with researchers, technical teams and senior stakeholders to design scalable solutions, drive infrastructure strategy and mentor teams in a hybrid environment.

Qualifications

• Experience in complex technical environments within research, academia, or industry.
• Ability to lead technical projects or workstreams with diverse stakeholders.
• Strong communication of complex concepts to technical and non-technical audiences.
• Proven expertise in designing and operating scalable research infrastructure.
• Background in AI/ML or data-intensive computing is beneficial.

Responsibilities

• Develop and maintain large-scale research computing infrastructure.
• Support HPC, AI and data-intensive workloads.
• Manage enterprise storage and services.
• Lead investigations of complex technical issues.
• Collaborate with researchers to translate requirements into solutions.
• Contribute to roadmaps and platform development.
• Lead small project teams when needed.
• Produce technical documentation and training materials.
• Work with internal teams and external partners.
• Contribute to research or grant funding initiatives.

Skills

HPC

High-performance networking

Interactive computing environments

GPU-enabled infrastructure

Scientific computing

Tools

DevOps practices

Infrastructure as Code

AI/ML infrastructure

Job description

Location: Hampshire, South Coast / Hybrid Working Available

The Opportunity

We're supporting a leading research-led organisation in the search for a Senior Research Infrastructure Engineer to play a key role in the development and delivery of advanced research computing services.

This is an opportunity to work closely with researchers, technical teams and senior stakeholders, helping shape the future direction of research infrastructure while supporting projects across high performance computing, AI and data-intensive research.

The Role

As a Senior Research Infrastructure Engineer, you'll combine hands-on technical expertise with technical leadership, ensuring the ongoing delivery, development and improvement of critical research platforms.

You'll act as a subject matter expert within your area of specialism, leading technical initiatives, influencing infrastructure strategy and helping researchers make the most of available technologies.

Key responsibilities include:

• Developing and maintaining large-scale research computing infrastructure
• Supporting HPC, AI and data-intensive workloads
• Managing enterprise storage and associated services
• Leading the investigation and resolution of complex technical issues
• Working closely with researchers to understand requirements and develop effective solutions
• Contributing to infrastructure design, roadmaps and future platform development
• Leading technical workstreams and small project teams when required
• Producing technical documentation, guidance and training materials
• Working collaboratively with internal teams and external technology partners
• Contributing to research and funding initiatives where appropriate

About You

We're keen to speak with experienced infrastructure professionals who have a strong background in complex technical environments and enjoy working closely with a research community.

You’ll bring significant experience across at least two of the following areas, with deep expertise in one:

• High Performance Computing (HPC)
• High performance networking
• Interactive computing environments
• GPU-enabled infrastructure
• Scientific or research computing

You’ll also have experience:

• Leading technical projects or workstreams
• Solving complex infrastructure challenges
• Communicating effectively with both technical and non-technical stakeholders
• Producing technical documentation and delivering training
• Translating user requirements into scalable technical solutions
• Research, scientific or higher education environments
• Infrastructure design and architecture
• DevOps practices and automation
• Infrastructure as Code technologies
• AI and machine learning infrastructure
• Grant-funded projects or bid contributions
• Line management or project leadership experience