Senior Cloud Engineer: AI Platform & Kubernetes Expert

Graphcore; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working

Annual leave policy

Private medical insurance

Dental plan

Pension (matched)

Life assurance and income protection

Parental leave policy

Employee assistance programme

Healthy snacks at Bristol office

Barista bar

Job summary

Graphcore is seeking a Senior Engineer to join the Cloud Platform Team to develop and deploy clouds and services across our fleet of high-performance AI systems. You will integrate with private/public clouds, ensure observability, and optimise performance for scalable AI workloads.

In this hands-on role, you’ll work with Infrastructure-as-Code, CI/CD pipelines, and a mix of on-premises and cloud environments. A solid Linux background and Agile experience are essential for success.

Qualifications

• 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 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, virtualization, 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.

Responsibilities

• 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

Kubernetes

Linux administration

Linux scripting

Git version control

CI/CD pipelines

Agile/SCRUM

Infrastructure as Code

Cloud fundamentals

Open source collaboration

Education

Bachelor's degree or equivalent practical experience

Tools

Terraform/OpenTofu

Ansible

Packer

GitLab/GitHub CI

OpenStack

Grafana

Prometheus

OpenSearch

SLURM

Job description

Graphcore is seeking a Senior Engineer to join the Cloud Platform Team to develop and deploy clouds and services across our fleet of high-performance AI systems. You will integrate with private/public clouds, ensure observability, and optimise performance for scalable AI workloads.

In this hands-on role, you’ll work with Infrastructure-as-Code, CI/CD pipelines, and a mix of on-premises and cloud environments. A solid Linux background and Agile experience are essential for success.