Staff Cloud Engineer

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 n experiences   Staff  Engineer to  join our Cloud  Platform  Team  and help develop and deploy  clouds and  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 .   These include in-house AI systems alongside off-the-shelf high-performance servers,  switches  and storage solutions .   This is a hand-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 at Graphcore   We build  Graphcore  products  into large-scale AI solutions for our customers and the Cloud  Platform  Team  is responsible for  providing such systems  to both  internal users via private clouds  and customers via  our own  public cloud s .   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.   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.   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 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.   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 L inux scripting ability  (bash  and  python   required ).   Strong proven Linux system administration ( U buntu, RHEL and variants).   Experience with a version control system (preferably G it )  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 ).