Senior Engineer - Cloud Development
Senior Engineer - Cloud Development

Senior Engineer - Cloud Development

Bristol Full-Time 48000 - 84000 £ / year (est.) No home office possible
G

At a Glance

  • Tasks: Develop and deploy cutting-edge cloud services for AI systems.
  • Company: Join Graphcore, a leader in AI compute technology.
  • Benefits: Enjoy flexible working, generous leave, and health benefits.
  • Why this job: Make a real impact in the fast-growing AI ecosystem.
  • Qualifications: Experience in cloud infrastructure and strong Linux skills required.
  • Other info: Be part of an inclusive team with excellent career growth opportunities.

The predicted salary is between 48000 - 84000 £ per year.

Overview

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 datacenter 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 Engineer to join our Cloud Development Team and help develop and deploy services. Working closely with our colleagues in Platform Engineering, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting-edge AI systems. As part of our Platform Engineering 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 hand-on role requiring a solid background in 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 Platform Engineering Team at Graphcore

We build Graphcore products into large-scale AI solutions for our customers and the Cloud Development 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

  • Develop and operate 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.
  • 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.
  • Operate and extend existing OpenStack-based cloud services and contribute to the deployment and development of new ones.
  • 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 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 (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).
  • 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).
  • Strong skillset and experience in HPC networking and virtualised RDMA NICs.
  • 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.

#J-18808-Ljbffr

G

Contact Detail:

graphcore Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Engineer - Cloud Development

✨Tip Number 1

Network like a pro! Reach out to current employees at Graphcore on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!

✨Tip Number 2

Prepare for technical interviews by brushing up on your cloud infrastructure knowledge. Get hands-on with tools like Terraform and Docker, and practice coding challenges that focus on Linux scripting. We want to see your skills in action!

✨Tip Number 3

Showcase your problem-solving skills during interviews. Be ready to discuss past projects where you tackled complex issues, especially in cloud environments. We love hearing about how you’ve made an impact!

✨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 Senior Engineer - Cloud Development

Cloud Infrastructure
Infrastructure-as-Code (IAC)
Linux Scripting (Bash, Python)
Linux System Administration (Ubuntu, RHEL)
Version Control (Git)
Continuous Integration (CI) Pipelines
OpenStack
Container Deployment (Docker)
Monitoring and Observability Tools (Grafana, Prometheus, etc.)
AGILE and SCRUM Methodologies
Automation Tools (Terraform, Ansible)
High-Performance Computing (HPC) Networking
Communication Skills
Problem-Solving Skills

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 Development Team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI compute and how your background aligns with our mission at Graphcore. Keep it concise but impactful, and don’t forget to mention your hands-on experience with cloud services.

Showcase Your Technical Skills: Be sure to include specific examples of your technical expertise, especially in areas like Infrastructure-as-Code, Linux scripting, and cloud deployment. We love seeing real-world applications of your skills, so don’t hold back!

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 that extra step!

How to prepare for a job interview at graphcore

✨Know Your Cloud Stuff

Make sure you brush up on your cloud infrastructure knowledge. Familiarise yourself with Infrastructure-as-Code tools like Terraform and Ansible, as well as the technologies behind cloud services. Being able to discuss your hands-on experience with these tools will show that you're ready to hit the ground running.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous roles, especially those related to high-performance networking or cloud deployment. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate how you tackled issues effectively.

✨Get Agile with It

Since the role involves working within AGILE and SCRUM frameworks, be ready to talk about your experience with these methodologies. Highlight any projects where you specified, scoped, or estimated work plans, and how you managed priorities and risks.

✨Communicate Like a Pro

Strong communication skills are key, especially when dealing with end-users. Practice explaining complex technical concepts in simple terms. This will not only help you connect with the interviewers but also show that you can effectively support internal users in their cloud service needs.

Senior Engineer - Cloud Development
graphcore
Location: Bristol

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

G
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>