About The Role

Join Graphcore, a leading AI technology company, as a Principal Cloud Engineer. In this hands-on technical role, you will work closely with various teams to develop and deploy cloud services on cutting-edge AI systems. You will be responsible for significant technical initiatives, mentoring junior engineers, and ensuring the peak performance of our AI systems. Enjoy a flexible work-life balance, private medical insurance, a pension plan, and opportunities for career progression and personal development.

Contribuer au développement et au déploiement de services cloud, en travaillant en étroite collaboration avec les équipes de développement logiciel et d'exploitation des centres de données.
Assurer l'intégration, la validation, l'optimisation et le développement de solutions d'IA haute performance, y compris les systèmes d'IA internes et les serveurs de haute performance.
Mentorer une petite équipe d'ingénieurs moins expérimentés et être responsable d'initiatives techniques significatives.
Expert-level, proven Linux system administration (Ubuntu, RHEL and variants)
Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd ,Kafka
Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints
Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar
Experience with a version control system (preferably Git) and using it to manage system configuration or automation
Experience with container deployment and management tools (e.g. docker, podman, apptainer)
Bachelor's degree or equivalent practical experience in a relevant subject
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
Expert with IAC automation tools (e.g. Terraform/OpenTofu, Ansible, Packer)
Expert-level, proven Linux scripting ability (bash and python required)
Excellent communication and presentation skills, and experience dealing with end-users of IT or cloud services
Experience managing or operating on-premises or private-cloud environments
Solid infrastructure or IT experience with a proven track record of delivering technical output as an individual contributor
An ability to work independently and lead others on critical infrastructure without oversight, and with a focus on end-user availability
Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU )
Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions
Strong skillset and experience in end-to-end deployment automation and CI of containerised services. Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild
Experience with managing production Kubernetes clusters and workloads
Experience with managed switch configuration (e.g. EOS, SONiC, DNOS)
Experience with workload queue management systems (SLURM, LSF, Kueue)
Programming experience with Python3 utilising classes and inheritance
Programming experience with Go

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