Network Practice Lead

Reading
1 month ago
Applications closed

Related Jobs

View all jobs

Network Practice Lead - MSP / VAR essential

Duty Fleet Manager- Rolling Stock

Senior Network Project Engineer

Senior Project Manager

Programme Manager

Teleport Senior Engineer

A highly accomplished and detail-oriented UK based Network Practice Lead is required to join a leading IT solutions and services provider on their journey, during a significant period of growth and success.

The contract will be home based so the candidate can claim mileage if travelling an office or client site. Candidates must be UK based and be able to travel to either the Reading or Leeds office. Preferred 1 day a week but can accommodate once a fortnight.

Reasons to work for our client -

Work with industry-leading technology to drive meaningful outcomes for clients
Work in a fast-packed work culture where individuals are empowered to succeed
Be a valued member in a rapidly growing team, with ambitious scale up plans
A range of benefits are on offer (including electric vehicle benefit scheme, cycle to work scheme, private medical care, life assurance and health and wellbeing programmes)
Own projects throughout the complete delivery lifecycle
State of the art working space and facilities in Berkshire and Leeds with flexible remote working optionsThe Role:

As the Network Practice Lead, your main focuses will be to help build highly resilient, scalable and modern product offerings and GTM strategy alongside fronting initial scale engagements with key clients as our client grows the practice. The successful candidate will be a driving force in the development of cutting-edge WAN and LAN networking technologies at the inception of new service propositions. This is your opportunity to make a mark - shaping and defining the future and productisation of new service offerings.

Your role will be client facing but you are still technically strong. You will be commercially aware with a business mindset, an expert communicator and you'll be able to converse with a range of technical and non-technical stakeholders from client C-Suite through to internal Board of Directors.

Being vendor agnostic is crucial - you'll need excellent knowledge and experience across multi-vendor networking solutions spanning traditional WAN and next gen cloud delivered WAN and LAN architectures. You'll also have deep knowledge of security and connectivity concepts with the ability to build a clients Internetwork Strategy Roadmap, linking in the benefits of multiple business propositions including Cloud networking. Your approach will be customer centric led to deliver outcome based solutions and you'll continually put the customer first.

Ideal experience -

In depth knowledge of major networking vendors - Fortinet, Palo Alto, Cisco, HPE Aruba and NVIDIA (Mellanox & Cumulus).
MSP/VAR essential.
In depth knowledge of virtualised network functions (NFVs) and Cloud network virtual appliances (NVAs)
Formal training or certification on network migration concepts and proficient expert experience.
Technical hands on ability to build out networking environments with best in class security and practices, and at scale with infrastructure as code (IaC) approaches (Terraform, Ansible, Python etc).
Proven experience in managing multiple large scale network delivery projects and third parties.
Proven successful experience in the Information Technology market with a demonstrable track record of developing teams and individuals.
Have solid knowledge of security and connectivity concepts with a focus on Hybrid Cloud delivery. Our customers need to securely connect to cloud apps and services at scale and with the best internetworking experience.
Demonstrable experience in delivering change initiatives in line with business strategy.
Experience in portfolio creation and management, business and IT alignment, strategic planning and GTM planning.If this opportunity appeals to you and aligns closely to your background - please submit your application to Jackie Dean at Jumar for consideration.

Jumar takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

How to Write a Winning Cover Letter for Edge Computing Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for edge computing jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the edge computing sector. When applying for an edge computing job, your cover letter is an essential part of your application. Edge computing is a rapidly growing field that is transforming how data is processed and analysed, and your cover letter offers the chance to highlight your technical skills, enthusiasm for the industry, and your ability to work on innovative edge computing solutions. Writing a cover letter for edge computing roles can be tricky, especially with the specific technical requirements, but following a clear structure can help you stand out. Whether you're new to edge computing, transitioning from another role, or looking to progress your career in this fast-evolving field, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you write a compelling cover letter that catches the attention of hiring managers in edge computing.

Jobs Careers

Veterans in Edge Computing: A Military‑to‑Civilian Pathway into Low‑Latency Tech Careers

In an era where milliseconds mean mission success, data processing is shifting from central clouds to the network’s edge—on factory floors, ship bridges, and battlefield vehicles. Analysts at IDC predict the UK edge‑computing market will hit £12 billion by 2027, driven by 5G multi‑access edge computing (MEC), autonomous systems, and real‑time AI. The Ministry of Defence (MoD) is already trialling Project NELSON and Army Warfighting Experiment edge nodes to give commanders AI‑enhanced situational awareness at the tactical edge. Veterans—seasoned in distributed operations, secure comms, and hardened hardware—are tailor‑made for this low‑latency revolution. This guide shows you how to translate your military skill set into civilian edge‑computing language, tap MoD transition funding, and land roles designing the next generation of near‑device compute platforms. Quick Win: Check our live board for Edge‑Infrastructure Engineer roles to see who’s hiring right now.

Jobs

Quantum-Enhanced AI at the Edge: The Future of Decentralised Intelligence

As the modern world pushes towards instant data processing and real-time analytics, edge computing has emerged as a compelling solution. Instead of funnelling every piece of data to centralised data centres or the cloud, edge computing brings computation closer to the data source—reducing latency, lowering bandwidth costs, and enabling on-the-spot decision-making. From IoT sensors in smart cities to autonomous vehicles and remote industrial sites, the edge has quickly become a linchpin of digital transformation. Simultaneously, Artificial Intelligence (AI) has shown explosive growth, driving breakthroughs in natural language processing, computer vision, and advanced analytics. Cloud-based AI solutions have served organisations well, but in scenarios demanding ultra-low latency or local autonomy, the cloud’s round-trip time becomes a bottleneck. Hence, edge AI—embedding AI models at or near the point of data collection—promises a new wave of hyper-responsive applications and decentralised intelligence. Yet, as we continue pushing the boundaries of data volume, complexity, and speed, even advanced edge solutions sometimes struggle with the exponential computational requirements of AI. This is where quantum computing enters the picture, potentially offering new methods to tackle intractable problems in optimisation, high-dimensional data analysis, and machine learning. While quantum hardware remains in its early stages, the prospect of integrating quantum algorithms into AI workflows at the edge is generating significant excitement. In this article, we’ll explore: The current state and challenges of edge computing. A concise overview of quantum computing and why it matters. The concept of quantum-enhanced AI—especially in distributed or decentralised environments. Potential real-world applications at the intersection of quantum, AI, and edge computing. Key job roles and skill sets emerging in this new frontier. Considerations around security, ethics, and hardware constraints as we move towards quantum solutions at the edge. If you’re a professional in edge computing, an AI enthusiast, or simply curious about what the future of decentralised tech might look like, read on. The fusion of quantum computing and AI at the network edge could redefine how we collect, process, and learn from data in real time.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.