At a Glance
- Tasks: Join our Cloud Platform Team to develop and deploy cutting-edge AI cloud services.
- Company: Innovative tech company focused on high-performance AI solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement opportunities.
- Why this job: Make a real impact in the AI space while working with advanced technologies.
- Qualifications: Experience with Kubernetes, cloud infrastructure, and strong Linux scripting skills required.
The predicted salary is between 60000 - 80000 £ per year.
Requirements
- 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) Experience with Openstack cloud platforms
- (Desirable) Experience with solutions for monitoring and observability, e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki
- (Desirable) Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions
- (Desirable) Programming experience with Python3 utilising classes and inheritance
What the job involves
- 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
- 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
- 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
Senior Cloud Engineer (Kubernetes) in London employer: graphcore
As a Senior Cloud Engineer at our innovative company, you will thrive in a dynamic work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including opportunities for professional development and access to cutting-edge AI technologies, all within a supportive environment that values your contributions. Join us in our state-of-the-art facilities, where your expertise will directly impact the deployment of high-performance cloud solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Cloud Engineer (Kubernetes) in London
✨Tip Number 1
Network like a pro! Attend meetups, webinars, or tech conferences related to cloud engineering. It's all about making connections and getting your name out there. Plus, you never know who might be looking for someone with your skills!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those involving Kubernetes, CI/CD, or IAC tools like Terraform. This gives potential employers a peek into your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Linux scripting and cloud technologies. Practice common interview questions and scenarios that relate to the job description. We want you to feel confident and ready to impress!
✨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, it shows you’re genuinely interested in joining our team and contributing to our exciting projects.
We think you need these skills to ace Senior Cloud Engineer (Kubernetes) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Kubernetes and any relevant tools like ArgoCD. We want to see how you've managed production clusters and delivered technical output, so don’t hold back on those details!
Tailor Your Application:Take a moment to customise your application for this role. Mention your experience in AGILE and SCRUM frameworks, and how you’ve tackled priorities and risks in past projects. This helps us see how you fit into our team!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to describe your Linux scripting skills and system administration experience. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
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. Prepare specific examples of how you've tackled challenges in this area.
✨Show Off Your Scripting Skills
Since strong Linux scripting ability is a must, practice writing scripts in bash or Python that demonstrate your problem-solving skills. Bring examples of your work to the interview, as this will show your hands-on experience and technical prowess.
✨Familiarise Yourself with Agile Methodologies
Understanding Agile and SCRUM is crucial for this role. Be prepared to discuss how you've worked within these frameworks, including how you've managed priorities and risks. Think of specific projects where you successfully navigated these processes.
✨Communicate Clearly and Confidently
Good communication skills are key, especially when dealing with end-users. Practice explaining complex technical concepts in simple terms. This will not only showcase your expertise but also your ability to collaborate effectively with non-technical stakeholders.
