At a Glance
- Tasks: Develop and deploy cutting-edge cloud services using Kubernetes for AI systems.
- Company: Join Graphcore, a leader in AI compute backed by SoftBank.
- Benefits: Enjoy flexible working, competitive salary, and generous leave policies.
- Other info: Inclusive work environment with excellent career growth opportunities.
- Why this job: Make a real impact in the fast-growing AI ecosystem with innovative technology.
- Qualifications: Experience with Kubernetes, cloud infrastructure, and strong Linux skills required.
The predicted salary is between 70000 - 90000 £ per year.
About Graphcore
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.
Job Summary
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 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 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
We build 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. You will 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.
Skills and Experience (all required)
- 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, virtualization 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.
Desirable but not required
- 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.
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 Kubernetes Cloud Engineer — Flexible Work employer: Cerebras
Graphcore is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among top-tier AI experts. With flexible working arrangements, generous benefits including private medical insurance and a supportive parental leave policy, employees are empowered to thrive both personally and professionally in our vibrant Bristol office. Join us to make a meaningful impact in the rapidly evolving field of artificial intelligence while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Kubernetes Cloud Engineer — Flexible Work
✨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
Show off your skills! Prepare a mini-project or demo that showcases your Kubernetes expertise. Bring it up during interviews to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Be ready for technical challenges! Brush up on your Linux scripting and cloud technologies. Expect some practical tests or scenario-based questions that will let you shine.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Graphcore team.
We think you need these skills to ace Senior Kubernetes Cloud Engineer — Flexible Work
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your Kubernetes management experience and any relevant cloud infrastructure projects you've worked on. We want to see how you can contribute to our Cloud Platform Team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI compute and how your background aligns with our mission at Graphcore. Don’t forget to mention specific projects or achievements that showcase your expertise.
Show Off Your Technical Skills:In your application, be sure to include details about your experience with Infrastructure-as-Code tools like Terraform or Ansible. We love seeing hands-on examples of how you've managed production Kubernetes clusters or optimised cloud services.
Apply Through Our Website:We encourage you to apply directly 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 candidates who take the initiative!
How to prepare for a job interview at Cerebras
✨Know Your Kubernetes Inside Out
Make sure you brush up on your Kubernetes knowledge before the interview. Be ready to discuss your experience managing production clusters and using tools like ArgoCD for continuous delivery. They’ll want to hear about specific challenges you've faced and how you overcame them.
✨Showcase Your Scripting Skills
Since strong Linux scripting ability is a must, prepare to demonstrate your skills in bash or Python. You might be asked to solve a problem on the spot, so practice writing scripts that automate tasks or manage configurations. This will show you can think on your feet!
✨Familiarise Yourself with Their Tech Stack
Graphcore is all about high-performance AI solutions, so get to know their tech stack. Understand the basics of APIs, virtualisation, and resource management. Being able to discuss how these elements fit into cloud services will impress your interviewers.
✨Prepare for Agile Discussions
Since they work in an AGILE and SCRUM framework, be ready to talk about your experience in these methodologies. Think of examples where you’ve prioritised tasks, managed risks, or dealt with constraints. This will show you’re not just technically savvy but also a team player.
