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 Soft Bank 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.

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, Data centre 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 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 role requiring a solid background in use of Dev Ops tooling, cloud infrastructure, deployment using Infrastructure-as-Code, and networking and storage systems. You may have been working in an IT organisation, a data centre, 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.

• 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 Data centre 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 data centres.
• Work with external vendors of off-the-shelf switches, servers and storage solutions to integrate 3 rd party products into our Cloud Reference Design.

• 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 Dev Ops tools and pipelines such as Git Lab, Git Hub, 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/Open Tofu, Ansible, Packer).
• Experience working in an AGILE and…