Senior Cloud Platform Engineer

About Graphcore   How often do you get the chance to build a technology that transforms the future of humanity?   Graphcore products have set the standard in made-for-AI compute hardware and software, gaining global attention and industry acclaim. Now we are developing the next generation of artificial intelligence compute with systems that will allow AI researchers to develop more advanced models, help scientists unlock exciting new discoveries, and power companies around the world as they put AI at the heart of their business.   Graphcore recently joined SoftBank Group – bringing large and ongoing investment from one of the world’s leading backers of innovative AI companies.   Job Summary    We are looking for a  Senior  Network  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 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   high-performance ethernet infrastructure  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 data  from the  network  infrastructure   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 , tune  and  operate  the fleet of AI systems at peak performance in our private clouds.   Work with external vendors of off-the-shelf switches,  servers  and storage solutions to integrate 3 rd  party products into our Cloud Reference Design , with a focus on network performance,  automation  and resilience.     Skills and Experience (all required)   Bachelor's degree or equivalent practical experience in a relevant subject.   Significant hands-on experience with 1 or more vendor’s high-end  (100Gb/s+)  ethernet  switch  solutions.   Experience  managing  on- premises  or private-cloud environments .    Solid software engineering or IT experience with a proven  track record  of delivering technical output as an individual contributor.   Experience  working  in an AGILE  and SCRUM  framework , including  understanding of  priorities, risks, issues,  impacts  and constraints .     Strong  proven L inux scripting ability  (bash, python, awk,  sed ).   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.   A solid hands-on understanding of the technologies underpinning cloud services ( APIs,  virtualisation of CPUs, IO, systems)  and how they relate to high-performance networking.   Experience with  IAC  automation tools ( Terraform/ OpenTofu , Ansible ).   Experience with container deployment and management  tools (e.g. docker).   Experience with solutions for monitoring and observability. e.g.  Grafana ,  Prometheus ,  OpenSea r ch / ElasticSearch , Loki .    Good communication and presentation skills ,  and experience dealing with end-users  of IT services.   An ability to work independently on critical infrastructure  with minimal  oversight , and with a focus on end-user availability .      Desirable but not required:   Experience with  Openstac