Senior Cloud Platform Engineer—AI Infra & Automation in Bristol

Senior Cloud Platform Engineer—AI Infra & Automation in Bristol

Bristol Full-Time 70000 - 90000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Join our Cloud Platform Team to develop and deploy cutting-edge cloud services.
  • Company: Graphcore, a leader in AI compute technology backed by SoftBank.
  • Benefits: Enjoy flexible working, generous leave, private medical insurance, and more.
  • 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 in cloud infrastructure, Linux scripting, and automation tools 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 Staff Engineer to join our Cloud Platform Team and help develop and deploy cloud 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, including in‑house AI systems and 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

We build Graphcore products into large‑scale AI solutions for our customers. 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.
  • Turn end‑user and product requirements into deployed services.
  • Help 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 on 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 as required.
  • 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 required).
  • 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.
  • 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 (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.

Senior Cloud Platform Engineer—AI Infra & Automation in Bristol employer: Cerebras

Graphcore is an exceptional employer located in the vibrant city of Bristol, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive salaries, flexible working arrangements, and generous leave policies, alongside opportunities for professional growth in cutting-edge AI technology. With a focus on employee well-being, including private medical insurance, Graphcore stands out as a rewarding place to build a meaningful career.

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Contact Details:

Cerebras Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Cloud Platform Engineer—AI Infra & Automation 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 maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for the interview by diving deep into Graphcore's tech. Familiarise yourself with their AI systems and cloud services. Show them you’re not just another candidate; you’re genuinely interested in what they do!

Tip Number 3

Practice your technical skills! Brush up on your Linux scripting and Infrastructure-as-Code knowledge. You might get asked to solve real problems during the interview, so being sharp will definitely help you stand out.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at Graphcore.

We think you need these skills to ace Senior Cloud Platform Engineer—AI Infra & Automation in Bristol

Cloud Infrastructure
Infrastructure-as-Code
OpenStack
Linux Scripting (Bash, Python)
Linux System Administration (Ubuntu, RHEL)
Version Control (Git)
Continuous Integration

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your cloud infrastructure experience and any relevant 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 and how your background makes you a perfect fit for the Senior Cloud Platform Engineer role. Don’t forget to mention specific technologies you’ve worked with that align with our needs.

Showcase Your Technical Skills:Since this is a technical role, be sure to include any hands-on experience you have with Infrastructure-as-Code, cloud services, and automation tools. We love seeing practical examples of your work, so feel free to share links to projects or GitHub repositories!

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 to connect with us directly!

How to prepare for a job interview at Cerebras

Know Your Cloud Stuff

Make sure you brush up on your cloud infrastructure knowledge, especially around OpenStack and Infrastructure-as-Code. Be ready to discuss your hands-on experience with deploying services in public or private clouds, as well as any automation tools you've used like Terraform or Ansible.

Show Off Your Scripting Skills

Since strong Linux scripting ability is a must, prepare to demonstrate your skills in bash and Python. You might be asked to solve a problem on the spot, so practice writing scripts that could automate tasks or improve processes.

Understand the Tech Stack

Familiarise yourself with the technologies underpinning cloud services, such as APIs, virtualisation, and resource management. Be prepared to explain how these components work together and how you've applied them in previous roles.

Communicate Clearly

Good communication is key, especially when dealing with end-users. Practice explaining complex technical concepts in simple terms, and think of examples where you've successfully collaborated with teams or supported users in your past experiences.