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, 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 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 Bristol employer: Deepstreamtech
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 technology, all within a vibrant location that fosters creativity and growth. Join us to be part of a team that is shaping the future of AI solutions while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Cloud Engineer (Kubernetes) in Bristol
✨Tip Number 1
Network like a pro! Attend industry meetups, webinars, or tech conferences where you can connect with fellow cloud engineers. Don't be shy—introduce yourself and share your passion for Kubernetes and cloud tech!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those involving Kubernetes, CI/CD, and IAC tools. This gives potential employers a peek into your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to cloud services and Kubernetes. Practice explaining your past projects and how you tackled challenges—this will help you stand out as a strong candidate.
✨Tip Number 4
Apply through our website! We love seeing passionate candidates who are eager to join our Cloud Platform Team. Tailor your application to highlight your relevant experience and how you can contribute to our cutting-edge AI systems.
We think you need these skills to ace Senior Cloud Engineer (Kubernetes) in Bristol
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:Read through the job description carefully and tailor your application to match. Use the same language and keywords we’ve used to describe the role. This shows us you understand what we're looking for and that you're a great fit!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills. Avoid fluff – we want to know what you can bring to the table!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Deepstreamtech
✨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 workloads, especially with tools like ArgoCD. 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, Python, or other relevant languages. You might be asked to solve a problem on the spot, so practice writing scripts that automate tasks or manage system configurations.
✨Familiarise Yourself with IAC Tools
Get comfortable with Infrastructure-as-Code tools like Terraform or Ansible. Be ready to explain how you've used these tools in past projects, particularly in automating deployments or managing cloud infrastructure. Real-world examples will make your answers stand out.
✨Communicate Clearly and Confidently
Good communication skills are key, especially when dealing with end-users. Practice explaining complex technical concepts in simple terms. You might also want to prepare for questions about how you handle feedback and collaborate with teams in an Agile environment.
