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Graphcore

Delivers IPU-powered AI cloud services

Software Infrastructure Kubernetes Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeBristol, UKNo salary listedIn-person

About the Job

Requirements

  • Practical experience developing in Go.
  • Familiarity with cloud services, with Amazon Web Services preferred.
  • Experience managing or developing in Linux environments.
  • Understanding of continuous integration and continuous delivery principles.
  • Strong experience with Kubernetes development and deployment.
  • Applicants must hold the right to work in the United Kingdom.

Responsibilities

  • Develop, own, and maintain tools and services to support the software organization.
  • Deploy and maintain Kubernetes infrastructure to develop, test, and scale Graphcore hardware and its software stack.
  • Manage cloud infrastructure using tools such as Terraform.

Desired Qualifications

  • Experience developing Kubernetes controllers.
  • Experience with infrastructure as code tools such as Terraform or OpenTofu.
  • Experience with GitHub Actions.
  • Experience with distributed high-performance computing systems.
  • Experience with modern observability tooling such as Prometheus.
  • Knowledge of Python or C++ or a similar language.
  • Familiarity with Amazon Web Services.

About the Company

Graphcore

Delivers IPU-powered AI cloud services

Graphcore.ai focuses on building and delivering Intelligence Processing Units (IPUs) and related AI services for enterprises. It provides IPU-powered cloud services, pre-trained AI models, optimized inference engines, and APIs on a subscription basis with on-demand pricing and free tiers through cloud partners. The IPUs accelerate AI workloads and enable scalable, cost-efficient AI deployment in enterprise applications. The company differentiates itself through specialized IPU hardware and optimized software stack, plus partnerships with cloud providers to reach customers, rather than relying on generic hardware. The goal is to help businesses scale AI-powered products and operations efficiently by offering flexible, scalable compute and ready-to-use AI components.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$1.1B
Headquarters
Bristol, United Kingdom
Founded
2016

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