Senior Infrastructure Analyst - DTEC

LTE Group; Manchester; Hybrid; GBP 45,000 - 68,000; Full time

Benefits offered by this job

28 days annual leave

Significant pension contribution

Retail discounts

Employee Assistance Programme

Cycle to Work Scheme

Job summary

LTE Group is seeking a Senior Infrastructure Analyst – DTEC to join the Infrastructure Team in Manchester. The role provides day‑to‑day administration of the Group’s Cyber and AI Lab estate, supporting teaching, research and skills development across cyber security, networking, AI and data science.

The postholder will maintain virtual teaching environments, user access, cloud and on‑premise lab resources, AI development platforms and cyber security training systems.

Qualifications

• Experience supporting Linux systems and virtualised environments.
• Understanding of networking fundamentals (TCP/IP, DNS, DHCP).
• Knowledge of cyber security principles and access management.
• Familiarity with Python and automation.
• Understanding of AI and machine learning concepts.

Responsibilities

• Manage user accounts, access permissions and onboarding/offboarding processes.
• Support cyber security platforms, virtual labs, AI development environments and remote access services.
• Maintain secure access to datasets, AI tools and learning platforms.
• Deploy and maintain virtual desktops, virtual machines and training environments.
• Support AI platforms, including Linux workstations, notebooks and containerised environments.
• Maintain software, updates, storage and system performance.
• Monitor service availability and resolve technical issues.
• Provide first and second-line support to students and staff.
• Troubleshoot authentication, connectivity and platform issues.
• Escalate complex infrastructure or security issues when required.
• Work closely with curriculum teams to support teaching delivery.
• Act as a key contact for Cyber and AI Lab services across LTE Group.
• Communicate service updates, maintenance activities and outages.
• Maintain technical documentation and support guides.
• Identify opportunities to improve processes and automate routine tasks.
• Contribute to the development of guidance materials for staff and students.

Skills

Linux systems

Virtualised environments

Networking fundamentals

Cyber security principles

Python

Automation

AI/ML concepts

Troubleshooting

Communication

Education

Level 3 qualification in Computing/IT/Cyber Security/AI/Data Science or equivalent

Tools

GNS3

EVE-NG

Packet Tracer

Jupyter

TensorFlow

PyTorch

Job description

The job requirements are detailed below. Where applicable the skills, qualifications and memberships required for this job have also been included.

Job details

Job title Senior Infrastructure Analyst - DTEC Job reference REQ011387 Date posted 18/09/2026 Application closing date 16/10/2026 Location Manchester Salary £45,360 - £68,040 Per annum Package Competitive Benefits plus Local Government Pension Scheme Contractual hours 37 Basis Full time Job category/type IT Attachments Senior Infrastructure Analyst.pdf Job description

Are you an experienced Senior Infrastructure Analyst – DTEC looking to make a real impact?

We are looking for a Senior Infrastructure Analyst DTEC to join our Infrastructure Team to provide day-to-day administration of the Group’s Cyber and AI Lab estate, supporting teaching, research and skills development across cyber security, networking, AI and data science.

The postholder will maintain virtual teaching environments, user access, cloud and on-premise lab resources, AI development platforms and cyber security training systems. They will work closely with curriculum teams and industry partners to ensure teaching environments are secure, available and ready for delivery.

This is a hands‑on technical role operating within a defined framework. Platform architecture, strategic design and technical governance remain the responsibility of the Enterprise Architect.

This role is offered on a permanent, full‑time basis, working 37 hours per week, hybrid based on site at our Openshaw campus in Manchester.

Key Responsibilities:

Cyber & AI Lab Support

• Manage user accounts, access permissions and onboarding/offboarding processes.
• Support cyber security platforms, virtual labs, AI development environments and remote access services.
• Maintain secure access to datasets, AI tools and learning platforms.

Platform Administration

• Deploy and maintain virtual desktops, virtual machines and training environments.
• Support AI platforms, including Linux workstations, notebooks and containerised environments.
• Maintain software, updates, storage and system performance.
• Monitor service availability and resolve technical issues.

User Support

• Provide first and second-line support to students and staff.
• Troubleshoot authentication, connectivity and platform issues.
• Escalate complex infrastructure or security issues when required.

Stakeholder Engagement

• Work closely with curriculum teams to support teaching delivery.
• Act as a key contact for Cyber and AI Lab services across LTE Group.
• Communicate service updates, maintenance activities and outages.

Continuous Improvement

• Maintain technical documentation and support guides.
• Identify opportunities to improve processes and automate routine tasks.
• Contribute to the development of guidance materials for staff and students.

Skills & Experience:

Essential

• Experience supporting Linux systems and virtualised environments.
• Understanding of networking fundamentals (TCP/IP, DNS, DHCP).
• Knowledge of cyber security principles and access management.
• Familiarity with Python and automation.
• Understanding of AI and machine learning concepts.
• Strong troubleshooting and communication skills.

Desirable

• Experience with GNS3, EVE-NG or Packet Tracer.
• Knowledge of Jupyter, TensorFlow, PyTorch or container technologies.
• Familiarity with GPU‑enabled environments and AI platforms.
• Experience of identity management and virtualisation technologies.

Qualifications:

Essential

• Level 3 qualification in Computing, IT, Cyber Security, AI/Data Science, or equivalent experience.

Desirable

• CompTIA Security+, Network+ or Linux+.
• Microsoft AI‑900 or AZ‑900.
• NVIDIA or other relevant Cyber/AI certifications.

Benefits

• 28 days annual leave plus 8 bank holidays.
• Significant pension contribution.
• Retail discounts.
• Employee Assistance Programme.
• Cycle to Work Scheme.

Safeguarding

The LTE Group is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment.

All applicants will be required to undergo an appropriate DBS check and may be subject to additional online checks as part of our pre‑employment screening process. Some roles are exempt from the Rehabilitation of Offenders Act 1974 and require an Enhanced DBS check.

Equal Opportunities

At The LTE Group, we're committed to providing an environment free from discrimination, bullying, harassment and victimisation, where everyone is treated with respect and dignity.

We are committed to working inclusively with the communities we serve and to developing a workforce and student community that reflects the diversity and vibrancy of Greater Manchester and the wider UK.

The closing date for this job advert is 16/10/2026. However, sometimes the job advert may close early if we receive a good response!