Senior Cloud Network Engineer London, UK

Senior Cloud Network Engineer London, UK

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
graphcore

At a Glance

  • Tasks: Join our Cloud Platform Team to develop and deploy cutting-edge AI cloud services.
  • Company: Graphcore, a leader in AI compute technology backed by SoftBank.
  • Benefits: Enjoy flexible working, generous leave, private medical insurance, and more.
  • Other info: Inclusive culture with excellent career growth opportunities and a dynamic work environment.
  • Why this job: Make a real impact on the future of AI while working with top experts.
  • Qualifications: Experience in high-performance networking, cloud infrastructure, and software engineering required.

The predicted salary is between 70000 - 90000 £ per year.

How often do you get the chance to build a technology that transforms the future of humanity? At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack—from silicon and software to infrastructure at datacentre scale. As part of the SoftBank Group, backed by significant long‑term investment, we are delivering key technology into the fast‑growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems in a place where everyone has the opportunity to make an impact on the company, our products, and the future of artificial intelligence.

We are looking for a Senior Network Engineer to join our Cloud Platform Team and help develop and deploy clouds and services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting‑edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high‑performance AI solutions. These include in‑house AI systems alongside off‑the‑shelf high‑performance servers, switches and storage solutions. This is a hands‑on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure‑as‑Code, observability, high‑performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services.

The Software Platform team at Graphcore builds Graphcore products into large‑scale AI solutions for our customers and the Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using and developing pre‑release hardware and software, so it’s vital you are comfortable with unproven components.

Responsibilities and Duties

  • Develop and operate high‑performance ethernet infrastructure on our private clouds and support internal users in their use. You will turn end‑user and product requirements into deployed services.
  • Help to build automation to collect and analyse metrics and other data from the network infrastructure to support clear identification and reporting of any issues.
  • Work with users to provide information of any product‑related issues to Engineering and QA departments.
  • Work with our Datacentre Operations Engineers to maintain, tune and operate the fleet of AI systems at peak performance in our private clouds.
  • Work with external vendors of off‑the‑shelf switches, servers and storage solutions to integrate third‑party products into our Cloud Reference Design, with a focus on network performance, automation and resilience.

Skills and Experience (all required)

  • Bachelor’s degree or equivalent practical experience in a relevant subject.
  • Significant hands‑on experience with one or more vendor’s high‑end (100Gb/s+) ethernet switch solutions.
  • Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor.
  • Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints.
  • Strong proven Linux scripting ability (bash, python, awk, sed).
  • Strong proven Linux system administration (Ubuntu, RHEL and variants).
  • Experience with a version control system (preferably Git) and using it to manage system configuration or automation.
  • Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar.
  • A solid hands‑on understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems) and how they relate to high‑performance networking.
  • Experience with IaC automation tools (Terraform/OpenTofu, Ansible).
  • Experience with container deployment and management tools (e.g. Docker).
  • Experience with solutions for monitoring and observability, e.g. Grafana, Prometheus, OpenSearch/Elasticsearch, Loki.
  • Good communication and presentation skills, and experience dealing with end‑users of IT services.
  • An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end‑user availability.

Desirable but not required

  • Experience with OpenStack cloud platform(s).
  • Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.
  • Experience with hardware offloading on RDMA‑capable NICs and how that integrates with virtual networking on Open vSwitch, KVM/QEMU.
  • Experience with managing production Kubernetes clusters and workloads with an automation tool such as ArgoCD.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

Senior Cloud Network Engineer London, UK employer: graphcore

Graphcore is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among top-tier professionals in the AI compute field. With a commitment to employee growth, we provide extensive benefits including flexible working arrangements, generous leave policies, and comprehensive health plans, all within a supportive environment that values diversity and inclusion. Located in London, our team has the unique opportunity to work on cutting-edge technology that shapes the future of artificial intelligence, making a meaningful impact on both the company and the industry.

graphcore

Contact Details:

graphcore Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Cloud Network Engineer London, UK

Tip Number 1

Network, network, network! Get out there and connect with people in the industry. Attend meetups, conferences, or even online webinars. You never know who might have a lead on your dream job!

Tip Number 2

Don’t just apply and wait! Follow up on your applications. A quick email to express your enthusiasm can make you stand out. It shows you're genuinely interested and proactive.

Tip Number 3

Prepare for interviews like it’s game day! Research the company, understand their products, and be ready to discuss how your skills align with their needs. Practice common interview questions and have your own ready to ask.

Tip Number 4

Apply through our website! We love seeing candidates who take the initiative to engage directly with us. Plus, it gives you a better chance to showcase your interest in our mission and values.

We think you need these skills to ace Senior Cloud Network Engineer London, UK

High-end Ethernet Switch Solutions
Cloud Infrastructure
Infrastructure-as-Code (IaC)
Linux Scripting (bash, python, awk, sed)
Linux System Administration (Ubuntu, RHEL)
Version Control Systems (Git)
Continuous Integration Pipelines (GitLab, GitHub)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your hands-on experience with high-performance networking and cloud infrastructure, as these are key for us at Graphcore.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background aligns with our mission. Share specific examples of your work that demonstrate your expertise in cloud services and automation.

Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies! Mention your experience with IaC tools like Terraform, Linux scripting, and any relevant cloud platforms. We love seeing candidates who can hit the ground running.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!

How to prepare for a job interview at graphcore

Know Your Tech Inside Out

Make sure you’re well-versed in high-performance networking and cloud infrastructure. Brush up on your knowledge of 100Gb/s+ ethernet switches and the tools like Terraform or Ansible that you’ll be using. Being able to discuss specific technologies and how they relate to AI compute will show you’re the right fit for the role.

Showcase Your Problem-Solving Skills

Prepare to discuss past experiences where you’ve tackled complex issues, especially in a cloud or datacentre environment. Graphcore values hands-on experience, so share examples of how you’ve optimised systems or integrated third-party products to enhance performance.

Familiarise Yourself with Agile Methodologies

Since the team works in an AGILE and SCRUM framework, it’s crucial to understand these processes. Be ready to talk about how you’ve prioritised tasks, managed risks, and collaborated with teams in previous roles. This will demonstrate your ability to adapt and thrive in their work environment.

Communicate Clearly and Confidently

Good communication is key, especially when dealing with end-users and cross-functional teams. Practice explaining technical concepts in simple terms, as you may need to relay information about product-related issues to non-technical colleagues. This will highlight your ability to bridge the gap between tech and user needs.