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 with global recognition.
- Benefits: Flexible working, generous leave, private medical insurance, and a vibrant office culture.
- Other info: Inclusive environment with excellent career growth opportunities and a focus on well-being.
- Why this job: Be part of transformative AI technology that shapes the future of humanity.
- Qualifications: Experience in high-performance networking, cloud infrastructure, and strong Linux skills 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? Graphcore products have set the standard in made-for-AI compute hardware and software, gaining global attention and industry acclaim. Now we are developing the next generation of artificial intelligence compute with systems that will allow AI researchers to develop more advanced models, help scientists unlock exciting new discoveries, and power companies around the world as they put AI at the heart of their business.
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 hand‑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 worked 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 use and develop 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.
- 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 3rd‑party products into our Cloud Reference Design, with a focus on network performance, automation and resilience.
- Bachelor’s degree or equivalent practical experience in a relevant subject.
- Significant hands‑on experience with one or more vendor’s high‑end (100 Gb/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, virtualization 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.
- Experience with OpenStack cloud platforms.
- 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.
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.
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 Platform Engineer London, UK employer: graphcore
Graphcore is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a commitment to employee growth, we provide extensive benefits including flexible working arrangements, generous leave policies, and comprehensive health plans, all while being at the forefront of AI technology development. Join us to be part of a team that not only values your contributions but also supports your professional journey in a vibrant and inclusive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Cloud Platform Engineer London, UK
✨Tip Number 1
Network, network, network! Reach out to people in the industry, especially those at Graphcore. Use LinkedIn to connect and engage with current employees. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for technical interviews by brushing up on your skills. Practice coding challenges and system design questions relevant to cloud infrastructure. We want to see how you think and solve problems, so be ready to showcase your expertise!
✨Tip Number 3
Showcase your projects! If you've worked on any cloud or networking projects, make sure to highlight them during interviews. Bring along examples of your work or even a portfolio to demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Graphcore team. Let’s get you on board!
We think you need these skills to ace Senior Cloud Platform Engineer London, UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Cloud Platform Engineer role. Highlight your experience with cloud infrastructure, high-performance networking, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our Cloud Platform Team. Be sure to mention any hands-on experience you have with technologies like Terraform or Docker.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical skills in your application. Mention your experience with Linux scripting, version control systems, and any automation tools you've used. We love seeing candidates who are hands-on and ready to dive into the tech!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at graphcore
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially high-performance Ethernet solutions and cloud services. Brush up on your Linux scripting skills and be ready to discuss how you've used tools like Terraform or Ansible in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, particularly in high-pressure environments. Be ready to explain how you’ve optimised network performance or automated processes, as this will demonstrate your hands-on experience and technical prowess.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working within an AGILE and SCRUM framework, it’s crucial to understand these concepts. Think of specific instances where you’ve contributed to a team in such settings and be prepared to discuss how you prioritised tasks and managed risks.
✨Communicate Clearly and Confidently
Good communication is key, especially when dealing with end-users and cross-functional teams. Practice explaining complex technical concepts in simple terms, and be ready to discuss how you’ve effectively collaborated with others to resolve issues or improve systems.