
Senior Engineer - Cloud Development
- Bristol Area
- Permanent
- Full-time
- Develop and operate 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.
- 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.
- Operate and extend existing OpenStack-based cloud services and contribute to the deployment and development of new ones.
- 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 3rd party products into our Cloud Reference Design.
- Bachelor's degree or equivalent practical experience in a relevant subject.
- Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor.
- Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints.
- Strong proven Linux scripting ability (bash, python, awk, sed).
- Strong proven Linux system administration (Ubuntu, RHEL and variants).
- Experience with a version control system (preferably Git) 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 OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU ).
- Experience with IAC automation tools (Terraform/OpenTofu, Ansible, Packer).
- Experience with container deployment and management tools (e.g. docker).
- Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki.
- Good communication and presentation skills, and experience dealing with end-users of IT services.
- An ability to work independently on critical infrastructure without oversight, and with a focus on end-user availability.
- Experience with Openstack cloud platforms.
- Experience with managing production Kubernetes clusters and workloads.
- Experience with workload queue management systems (SLURM, LSF).
- Experience with managed switch configuration (e.g. EOS, SONiC, DNOS).
- Programming experience with Python3 utilising classes and inheritance.
- Programming experience with Go.