Senior Cloud Engineer (K8S)

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  Senior  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   Kubernetes-managed  end-user services on our private clouds and support internal users in their use.   You will turn   end-user and product requirements into deployed services.   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.     Skills and Experience (all required)   Bachelor's degree or equivalent practical experience in a relevant subject.   Experience with  managing production  Kubernetes  clusters and workloads with a  continuous delivery  tool such as  ArgoCD .   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), virtual networks, block storage, resource  management  and monitoring.   Experience with  IAC  automation tools ( Terraform/ OpenTofu , Ansible , Packer ).   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  Openstack  cloud platform s.   Experience with solutions for monitoring and observability. e.g.  Grafana ,  Prometheus , OpenSearch/ ElasticSearch , Loki.    Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.   Programming  experience  with  Python3 utilising classes and inheritance.   Benefits 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