At a Glance
- Tasks: Join our Cloud Platform Team to develop and deploy cutting-edge AI cloud services.
- Company: Graphcore, a leader in AI compute technology backed by SoftBank.
- Benefits: Flexible working, competitive salary, private medical insurance, 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 sector with innovative technology.
- Qualifications: Experience in cloud infrastructure, scripting, and automation tools required.
The predicted salary is between 60000 - 80000 € 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 an experienced Staff 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 and Duties
- Operate and extend existing OpenStack-based cloud services and contribute to the deployment and development of new ones.
- Develop and operate end-user services on our clouds and support internal users in their use. You will turn end-user and product requirements into deployed services.
- Help to build automation to collect and analyse metrics and other observability data from the cloud services to support clear identification and reporting of any issues.
- Work with users to provide information of any product-related issues to Engineering and QA departments.
- 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.
- Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering.
- Work with external vendors of off-the-shelf switches, servers and storage solutions to specify, benchmark and integrate 3rd party products into our Cloud Reference Design.
Skills and Experience [ALL REQUIRED]
- Bachelor's degree or equivalent practical experience in a relevant subject.
- Solid infrastructure or IT experience with a proven track record of delivering technical output as an individual contributor.
- Experience managing or operating on-premises or private-cloud environments.
- Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints.
- Strong proven Linux scripting ability (bash and python).
- 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.
- Hands-on experience deploying services into public or private clouds using Infrastructure-as-Code (IAC).
- A solid 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 (e.g. Terraform/OpenTofu, Ansible, Packer).
- Experience with container deployment and management tools (e.g. docker, podman, apptainer).
- Experience with solutions for monitoring and observability (e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd, Kafka).
- Good communication and presentation skills, and experience dealing with end-users of IT or cloud services.
- An ability to work independently on critical infrastructure without oversight, and with a focus on end-user availability.
Desirable but not required:
- Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU).
- Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.
- Strong skillset and experience in end-to-end deployment automation and CI of containerised services.
- Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild.
- Experience with managing production Kubernetes clusters and workloads.
- Experience with workload queue management systems (SLURM, LSF, Kueue).
- Experience with managed switch configuration (e.g. EOS, SONiC, DNOS).
- Programming experience with Python3 utilising classes and inheritance.
- Programming experience with Go.
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.
Staff Cloud Engineer in Bristol employer: graphcore
Graphcore is an exceptional employer, offering a dynamic work environment in the heart of Bristol where innovation thrives. With a strong focus on employee growth, we provide ample opportunities for professional development alongside competitive benefits such as flexible working hours, generous leave policies, and comprehensive health plans. Our inclusive culture fosters collaboration among talented individuals, empowering you to make a significant impact in the rapidly evolving field of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Cloud Engineer in Bristol
✨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 even lead to a referral, which can boost your chances of landing that Staff Cloud Engineer role.
✨Tip Number 2
Prepare for the technical interview by brushing up on your cloud infrastructure knowledge. Make sure you can talk confidently about Infrastructure-as-Code and your experience with tools like Terraform or Ansible. We want to see your hands-on skills shine!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss past projects where you tackled challenges in cloud services or high-performance systems. We love hearing about how you’ve made an impact in previous roles!
✨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 the Graphcore team.
We think you need these skills to ace Staff Cloud Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Staff Cloud Engineer role. Highlight your experience with cloud infrastructure, Infrastructure-as-Code, 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 great fit for our team. Don't forget to mention specific technologies or experiences that relate to the job description.
Showcase Your Technical Skills:In your application, be sure to showcase your technical skills, especially in Linux scripting, cloud services, and automation tools. We love seeing hands-on experience, so include any relevant projects or achievements that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to submit all the necessary documents in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at graphcore
✨Know Your Cloud Infrastructure
Make sure you brush up on your knowledge of cloud infrastructure, especially OpenStack and Infrastructure-as-Code tools like Terraform or Ansible. Be ready to discuss your hands-on experience with deploying services in public or private clouds, as this will be crucial for the role.
✨Showcase Your Scripting Skills
Since strong Linux scripting ability is a must-have, prepare to demonstrate your skills in bash and Python during the interview. You might be asked to solve a problem or explain how you've used scripts to automate tasks in previous roles.
✨Understand Performance Metrics
Familiarise yourself with observability tools like Grafana and Prometheus. Be prepared to talk about how you've collected and analysed metrics in past projects, and how that data helped improve system performance or resolve issues.
✨Communicate Clearly
Good communication is key, especially when dealing with end-users. Practice explaining complex technical concepts in simple terms, as you may need to convey information about product-related issues to non-technical stakeholders.
