about 10 hours ago
Responsibilities
- Develop and operate Kubernetes-managed end-user services on private clouds.
- Support internal users in utilizing cloud services effectively.
- Collaborate with Datacentre Operations Engineers to maintain AI systems at peak performance.
- Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure-as-Code.
Requirements
- Bachelor's degree or equivalent practical experience in a relevant subject.
- Experience managing production Kubernetes clusters and workloads with continuous delivery tools.
- Solid software engineering or IT experience with a proven track record of delivering technical output.
- Experience working in AGILE and SCRUM frameworks.
- Strong Linux scripting ability and system administration skills.
- Experience with version control systems and Continuous Integration pipelines.
- A solid understanding of cloud service technologies and IAC automation tools.
Benefits
- Flexible working arrangements.
- Generous annual leave policy.
- Private medical insurance and health cash plan.
- Dental plan and pension matched up to 5%.
- Life assurance and income protection.
- Generous parental leave policy and employee assistance programme.
- Healthy food and snacks at the office.