Staff Engineer - Cloud Development

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.

Job Summary

We are looking for a Staff Engineer to join our Cloud Development Team and help develop and deploy services. Working closely with our colleagues in Platform Engineering, Datacentre Operations and other engineering teams, you will deploy and operate 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 operation of our highperformance AI solutions. These include in-house AI systems alongside off-the-shelf high performance servers, switches and storage solutions.

This is a hands-on role requiring a solid background in use of DevOps tooling, cloud infrastructure, deployment using Infrastructure-as-Code, and networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as an operator 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 working with unproven components.

Responsibilities and Duties

• Develop and operate cloud services on our private clouds and support internal users in their use. You will help turn end-user and product requirements into deployed services.
• Help to build automation to collect and analyse metrics and other 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, Continuous Integration, and Infrastructure-as-Code in internal and external datacentres.
• Work with external vendors of off-the-shelf switches, servers and storage solutions to integrate 3 rd party products into our Cloud Reference Design.

Skills and Experience (all required)

• Bachelor\’s degree or equivalent practical experience in a relevant subject.
• Minimum 3 years experience of managing physical or virtual infrastructure, with a proven track record of delivering technical output as an individual contributor.
• Linux scripting ability (bash and python are essential, plus extra tooling e.g. awk, sed, jql).
• Experience Linux system administration (Ubuntu, RHEL and variants).
• Experience with GIT version control system and using it to manage system configuration or automation code.
• Experience with DevOps tools and pipelines such as GitLab, GitHub, Jenkins or similar, ideally as applied to cloud services (private or public).
• A solid hands-on understanding of the technologies underpinning cloud services (REST APIs, virtualisation of CPUs, storage, systems), virtual networks, block storage, resource management and monitoring.
• Experience with Infrastructure-As-Code (IAC) automation tools (e.g. Terraform/OpenTofu, Ansible, Packer).
• Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints.
• Experience with container deployment and management tools (e.g. podman, docker, kubernetes).

Desirable but not required:

• Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Kafka.
• Experience with managing production Kubernetes clusters and workloads.
• Programming experience with Python3 utilising classes and inheritance.
• Programming experience with Go.

Benefits and Additional Information

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.

Apply and Next Steps

We are seeking applicants who are motivated to contribute to a fast-paced AI hardware and software ecosystem. This description does not include every duty or responsibility that may be assigned; the company reserves the right to modify duties or responsibilities at any time. If you wish to apply, please submit your resume/CV using the provided channel.