Software Infrastructure Engineer - Flexible, Kubernetes-Driven

graphcore; Bristol; On-site; GBP 50,000 - 80,000; Full time

Benefits offered by this job

Flexible working

Generous annual leave policy

Private medical insurance

Health cash plan

Dental plan

Pension (matched up to 5%)

Life assurance

Income protection

Parental leave policy

Employee assistance programme

Job summary

Graphcore is seeking a key member for its Software Infrastructure team in Bristol. This role focuses on developing tools and services that enhance software build, test, and deployment processes. You will manage cloud infrastructure and deploy services using Kubernetes and Docker, playing an essential role in scaling systems for AI development.

The ideal candidate will have experience in cloud deployment, strong programming skills in Python, Go, or C++, and a solid understanding of Linux environments. Join us in shaping the future of AI technology!

Qualifications

• Knowledge of Python/Go/C++ (or similar language).
• Experience deploying services in the cloud (AWS preferred).
• Deep understanding of Linux environments.
• Native user of CI/CD for production deployments.
• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu).
• Experience using Kubernetes (k8s) or OpenStack.
• Experience with GitHub Actions.
• Experience with build tools (e.g. CMake).
• Experience with modern observability tooling (e.g. Prometheus).
• Experience with Grafana.

Responsibilities

• Develop, own, and maintain tools and services to support the software build and release process.
• Deploy and maintain services with Kubernetes and Docker.
• Manage our Cloud Infrastructure using tools such as Terraform.

Skills

Python

Go

C++

Kubernetes

Docker

Terraform

GitHub Actions

CMake

Prometheus

Grafana

Job description

Graphcore is seeking a key member for its Software Infrastructure team in Bristol. This role focuses on developing tools and services that enhance software build, test, and deployment processes. You will manage cloud infrastructure and deploy services using Kubernetes and Docker, playing an essential role in scaling systems for AI development.

The ideal candidate will have experience in cloud deployment, strong programming skills in Python, Go, or C++, and a solid understanding of Linux environments. Join us in shaping the future of AI technology!