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- Tasks: Develop and deploy cutting-edge cloud services using Kubernetes for AI systems.
- Company: Join Graphcore, a leader in AI compute hardware and software.
- Benefits: Enjoy flexible working, generous leave, private medical insurance, and more.
- Other info: Inclusive culture with excellent career growth opportunities.
- Why this job: Be part of a team shaping the future of AI technology.
- Qualifications: Experience with Kubernetes, cloud infrastructure, and strong Linux skills required.
The predicted salary is between 70000 - 90000 £ per year.
About Graphcore
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. Graphcore recently joined SoftBank Group – bringing large and ongoing investment from one of the world’s leading backers of innovative AI companies.
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 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
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
- 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, 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.
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 Cloud Engineer (K8S) employer: graphcore
Contact Detail:
graphcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Cloud Engineer (K8S)
✨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! If you’ve got a GitHub or personal project showcasing your Kubernetes expertise, make sure to highlight it during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical questions! Brush up on your cloud infrastructure knowledge and be ready to discuss your experience with Infrastructure-as-Code tools. We want to see how you think on your feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior Cloud Engineer (K8S)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Cloud Engineer role. Highlight your Kubernetes management experience and any relevant cloud infrastructure projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and cloud technology. Share specific examples of how you've tackled challenges in previous roles, especially in high-performance environments.
Show Off Your Technical Skills: Don’t shy away from showcasing your technical prowess! Mention your experience with Infrastructure-as-Code tools like Terraform or Ansible, and any hands-on work with Linux systems and CI/CD pipelines.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right team!
How to prepare for a job interview at graphcore
✨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.
✨Show Off 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 system configurations.
✨Understand Cloud Technologies
Familiarise yourself with the technologies underpinning cloud services, such as APIs, virtualisation, and resource management. Be prepared to discuss how you've applied these concepts in previous roles, especially in high-performance environments.
✨Communicate Clearly and Confidently
Good communication is key, especially when dealing with end-users. Practice explaining complex technical concepts in simple terms. This will not only show your expertise but also your ability to work well with others in a team setting.