Engineering Manager – Enterprise Networks

London
1 month ago
Create job alert

Engineering Manager – Enterprise Networks

London

Who We Are

Our ambition is to operate a hyperlocal three-sided marketplace, connecting local consumers, restaurants and grocers, and riders to fulfill a mission-critical, emotional purchase in under 30 minutes.

From distributed computing to large-scale system design, complex algorithms to beautiful user interfaces, we have teams working on every step of the journey to ensure we continue to offer our customers a growing selection of choice at the best price with a fantastic level of service.

Deliveroo now operates in 10 markets worldwide, working with thousands of restaurants and grocers, thousands of riders, and serving millions of consumers. Our partners, riders and customers are as passionate about food as we are, and if you want to make an impact on millions of users by solving some of the biggest technical challenges at great scale, come on board and join the ride.

About the Role

The Enterprise Networks team designs, builds, and sustains the network powering Deliveroo’s internal teams 24/7/365 - this includes both office and kitchen locations in multiple countries across Asia, the Middle East, and Europe.

As the Engineering Manager for this team, you will be accountable for its overall success, including all technical and delivery outcomes, and will guide the long-term technical strategy of the networking posture for the company.

What you’ll be doing:

  • Line managing teams of network engineers that build & run the infrastructure on which the company relies

  • Leading the team strategy, including defining and tracking its success measures

  • Driving the operational excellence of the team, including its on-call, observability and security postures

  • Working closely with our telecommunication and networking partners and managing those relationships

  • Building a team of diverse & experienced engineers, and guiding them to deliver at a rapid but sustainable pace

  • Creating a learning environment for your team and providing career mentorship for engineers

  • Working with users, engineers, and product teams across the business to understand what’s needed of our infrastructure

  • Making our production environments continuously available, resilient and scalable

  • Improving and implementing processes that scale with the company

  • Oversee audits and address critical findings with creative and practical solutions.

    Requirements:

  • Experience of line managing a team in the engineering space

  • You have previously been a Network Engineer and or Network Operations lead, building & delivering capabilities at pace

  • Functional understanding of networking (on-prem, cloud & hybrid)

  • Experience managing vendor relationship in the Telco & MSP space

  • Experience of campus-level networking, including Wi-Fi management (particularly the Juniper ecosystem)

  • Experience with end-user compute environments and interfacing with other support functions.

  • Experience in delivering automation capabilities to improve operational efficiencies and reduce human error

  • Process-driven with a track record for driving continuous improvement

  • A highly collaborative management style, seeking consensus across a wide range of stakeholder groups

  • You practice servant leadership - you set goals and offer advice, setting your team up for success

  • You're a natural recruiter, passionate about building your team

    Life at Deliveroo

    We are a growing team, with a very large impact, seeking to answer some of the most interesting questions out there. We move fast, we’re always looking for new ideas and we’re very transparent about the decisions we make and why we make them.

    There are so many questions we need to answer and plenty more we haven’t even encountered. How do data and technology help restaurants to grow as consumer habits change? How can we predict what someone wants to order for dinner long before the idea has even crossed their mind? At Deliveroo these are just some of the tough problems we are solving - and there is no challenge that cannot be yours. No solution is owned by a particular team, which means the scope for growth and personal impact is enormous.

    Workplace & Diversity

    At Deliveroo we know that people are the heart of the business and we prioritise their welfare. We offer multiple benefits in areas including health, family, finance, community, convenience, growth and relocation.

    We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is experience with (most) food and a desire to be part of one of the fastest-growing startups in an exciting space

Related Jobs

View all jobs

Senior Software Developer - 5G Core

Analytics Engineering Manager

Platform Engineer

Technical Sales Manager

Sales Manager - Telecom Datacenter

Regional Manager

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.

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.

Edge Computing Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Edge computing has emerged as a revolutionary paradigm for processing data closer to where it’s generated—think IoT devices, sensors in remote locations, autonomous vehicles, and more. By reducing latency and bandwidth usage, edge computing enables real-time insights and responsive applications. In the UK, a growing ecosystem of innovators is capitalising on edge technology, buoyed by increased venture capital, academic prowess, and government-backed programmes that stimulate tech development. In this Q3 2025 Investment Tracker, we’ll explore newly funded UK start-ups blazing a trail in edge computing. We’ll also highlight the wealth of job opportunities these investments create for software engineers, DevOps specialists, data scientists, and other tech professionals looking to carve out a career at the cutting edge—pun fully intended.

Portfolio Projects That Get You Hired for Edge Computing Jobs (With Real GitHub Examples)

Edge computing is transforming how data is collected, processed, and acted upon—often in real time and close to where data is generated. From Internet of Things (IoT) devices to 5G networks and industrial automation, edge computing unlocks new possibilities for low-latency analytics, intelligent decision-making, and resource optimisation. With the proliferation of edge devices and the need for distributed computing architectures, demand for skilled edge computing professionals continues to rise. If you want to stand out in this exciting field, you need more than a great CV: you need a well-curated portfolio demonstrating your hands-on capabilities. This guide will show you how to build that portfolio, including: Why a dedicated edge computing portfolio is crucial. How to choose projects aligned with your target edge roles. Real GitHub examples that illustrate best practices. Actionable project ideas for edge deployments and data processing. Tips on presenting your portfolio so recruiters and hiring managers see your value instantly. When you’re ready, don’t forget to upload your CV on EdgeComputingJobs.co.uk so potential employers can find your newly polished portfolio. Let’s dive in!