Senior Platform Infra Engineer: Cloud, CI/CD & Kubernetes

Foundation Capital; Greater London; Hybrid; GBP 65,000 - 110,000; Full time

Benefits offered by this job

Flexible working

Private medical insurance

Pension (matched)

Life assurance

Parental leave

Employee assistance programme

Job summary

Graphcore is seeking a Software Infrastructure Engineer to scale and manage our infrastructure, developing essential tools and services for build, test, deployment, and productisation of ML software components. You will work with HPC AI platforms and distributed systems to reduce toil and improve reliability.

The role focuses on deploying services with Kubernetes and Docker, managing cloud infrastructure via Terraform/OpenTofu, and mentoring junior engineers in a fast-paced, innovation-driven

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 with 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.
• Support the technical development of junior and graduate engineer.
• Embody a strong engineering discipline for high reliability and minimal toil.

Skills

Python

Go

C++

Cloud deployment

CI/CD

Linux

Tools

Kubernetes

Docker

Terraform

OpenTofu

AWS

GitHub Actions

CMake

Prometheus

Grafana

Job description

Graphcore is seeking a Software Infrastructure Engineer to scale and manage our infrastructure, developing essential tools and services for build, test, deployment, and productisation of ML software components. You will work with HPC AI platforms and distributed systems to reduce toil and improve reliability.

The role focuses on deploying services with Kubernetes and Docker, managing cloud infrastructure via Terraform/OpenTofu, and mentoring junior engineers in a fast-paced, innovation-driven