Staff Cloud Development Engineer, Graphcore

• 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

• 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 hand-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
• 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 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 3rd party products into our Cloud Reference Design