Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Infrastructure Engineer

Manchester
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Lead Data Engineer

Lead Data Engineer

Data Engineer

Data Engineer – SC Cleared - AWS

Infrastructure Engineer – (Azure Infrastructure, VMware, M365)

📍 Location: Manchester | 🕐 Full-time | 💻 Hybrid | 📈 £40,000
Position Summary
A dynamic and growth-focused technology firm is currently seeking an Infrastructure Engineer to support its expanding operations. The ideal candidate will be proactive, technically proficient, and adaptable, with a strong desire to contribute within a fast-moving environment. The successful applicant will join a workplace culture that prioritizes trust, skill development, and autonomy. Comprehensive resources for professional growth, including structured training and ongoing development programs, will be provided.
 
Main Duties and Responsibilities

Maintain and enhance a hybrid IT infrastructure across multiple locations, incorporating VMware and Azure technologies
Provision and manage both Linux and Windows-based virtual servers
Oversee and support endpoint devices and internal network systems
Ensure effective backup solutions and disaster recovery readiness
Administer firewall configurations and process security change requests
Uphold system security and data integrity standards
Occasionally participate in scheduled maintenance or out-of-hours support work 
Preferred Background

Minimum of two years in a related infrastructure or systems role
Strong interpersonal and collaborative abilities
Demonstrates initiative, reliability, and a results-driven approach
Comfortable adapting to evolving technical landscapes 
 
Desired Technical Expertise
Candidates with experience in at least three of the following areas will be viewed favorably:

Microsoft Windows Server technologies (e.g., Active Directory, DNS, IIS, SQL Server)
Microsoft 365 tools and platforms (e.g., Entra ID, Intune, Exchange Online, Defender)
Endpoint administration for both Windows and macOS systems
Core networking components (e.g., switches, firewalls, zero-trust networking solutions)
Cloud infrastructure knowledge, especially Microsoft Azure or AWS
VMware vSphere management
Linux system administration (Debian-based preferred)
Backup and replication tools, particularly Veeam
Use of CDN management platforms (e.g., Cloudflare)
Application of patching and software update toolsOffered Benefits

A competitive salary structure with potential performance bonuses
A flexible work environment, including hybrid and remote options
Access to high-quality training resources and structured CPD plans
Clear progression routes for professional advancement
A team-oriented culture emphasizing support, trust, and individual contribution
Engagement in meaningful and technically diverse projects from the outset 
How to Apply?     Deadline date for submissions: Monday 12th May 2025
Please submit your resume and a reference detailing your experience and qualifications for the Infrastructure engineer position to:
Ben Trapnell – Recruitment Consultant, SR2 Socially Responsible Recruitment; Benjamin @ (url removed) (phone number removed)
Infrastructure Engineer – (Azure Infrastructure, VMware, M365) Manchester

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.