At a Glance
- Tasks: Join us to develop and deploy cutting-edge cloud services for AI systems.
- Company: Graphcore, a leader in AI compute technology with global recognition.
- Benefits: Enjoy flexible working, generous leave, health plans, and a vibrant office culture.
- Other info: Inclusive workplace with excellent career growth and support for diverse backgrounds.
- Why this job: Be part of a transformative tech journey that shapes the future of AI.
- Qualifications: Experience with Kubernetes, cloud infrastructure, and strong Linux skills required.
The predicted salary is between 60000 - 80000 € 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 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 Kubernetes‑managed end‑user services on our private clouds and support internal users in their use.
- Turn end‑user and product requirements into deployed services.
- Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds.
- Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure‑as‑code in internal and external datacentres.
- Bachelor's degree or equivalent practical experience in a relevant subject.
- Experience with managing production Kubernetes clusters and workloads with a continuous delivery tool such as ArgoCD.
- 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), virtual networks, block storage, resource management and monitoring.
- Experience with IAC automation tools (Terraform/OpenTofu, Ansible, Packer).
- 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 solutions for monitoring and observability, e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki.
- Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.
- Programming experience with Python3 utilising classes and inheritance.
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.
SponsorshipApplicants 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 Engineer (K8S) New Bristol, UK employer: graphcore
Graphcore is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Bristol. With a commitment to employee growth, we provide extensive benefits including flexible working hours, generous leave policies, and comprehensive health plans, all while working on cutting-edge AI technology that shapes the future. Join us to be part of a diverse team dedicated to making a meaningful impact in the world of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Cloud Engineer (K8S) New Bristol, UK
✨Tip Number 1
Network like a pro! Reach out to current employees at Graphcore on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the technical interview by brushing up on Kubernetes and cloud infrastructure. We recommend setting up a mini-project to showcase your skills – it’s a great way to demonstrate your hands-on experience!
✨Tip Number 3
Don’t underestimate the power of soft skills! Practice explaining complex tech concepts in simple terms. Being able to communicate effectively with non-tech folks is a huge plus in any role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll be one step closer to joining a team that’s shaping the future of AI technology.
We think you need these skills to ace Senior Cloud Engineer (K8S) New Bristol, UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Cloud Engineer role. Highlight your experience with Kubernetes, cloud infrastructure, 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 your background makes you a perfect fit for our Cloud Platform Team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in your application. Mention your experience with Infrastructure-as-Code tools like Terraform or Ansible, and any hands-on work with high-performance computing environments. We’re keen to see your expertise!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at Graphcore!
How to prepare for a job interview at graphcore
✨Know Your Kubernetes Inside Out
Make sure you brush up on your Kubernetes knowledge. Be ready to discuss your experience managing production clusters and using tools like ArgoCD for continuous delivery. Prepare examples of how you've turned end-user requirements into deployed services.
✨Show Off Your Scripting Skills
Since strong Linux scripting ability is a must, practice your bash and Python skills. Think of specific projects where you've used these languages to automate tasks or improve system performance, and be ready to share those experiences.
✨Understand the Cloud Landscape
Familiarise yourself with the technologies underpinning cloud services, such as APIs, virtualisation, and resource management. Be prepared to discuss your hands-on experience with IAC tools like Terraform or Ansible, and how you've applied them in real-world scenarios.
✨Communicate Clearly and Confidently
Good communication is key, especially when dealing with end-users. Practice explaining complex technical concepts in simple terms. Think about times when you've had to present ideas or solutions to non-technical stakeholders and how you made those interactions successful.