Senior Cloud Engineer

Build the cloud platform that puts Graphcore AI systems into real use.

As a Senior Cloud Engineer, you will develop and operate private cloud services for Graphcore teams and users.

You will turn product and user requirements into reliable, deployed services.

Your work will support large-scale AI systems built from Graphcore hardware, high-performance servers, networks and storage.

These systems help engineers validate, benchmark and optimise the platforms behind advanced AI compute.

You will use Infrastructure-as-Code, observability and automation to deploy, test and improve cloud infrastructure.

You will also work with datacentre, software and product teams to keep critical systems performing.

This is hands-on engineering with real ownership.

You will often work with pre-release hardware and software, where judgement and pace matter.

The team and culture

The Cloud Platform Team builds the systems that give internal users and customers access to Graphcore AI infrastructure.

Work moves from requirements to deployed services, with engineers close to the users and systems they support.

You will work across Software Platform, Datacentre Operations and Product Development.

Decisions are shaped by technical evidence, user needs and the realities of operating critical infrastructure.

This team suits engineers who take responsibility, speak up and move quickly.

You will be trusted to work independently, solve hard platform problems and keep services available.

What we’re looking for

• Bachelor's degree or equivalent practical experience in a relevant subject.

• Solid software engineering or IT experience, with proven delivery as an individual contributor.

• Experience managing on-premises or private-cloud environments.

• Strong Linux scripting and system administration skills across bash, Python, awk, sed, Ubuntu, RHEL and variants.

• Experience with Git, CI pipelines and Infrastructure-as-Code tools such as Terraform/OpenTofu, Ansible or Packer.

• Hands-on understanding of cloud services, virtualisation, networks, storage, monitoring and observability.

While we have outlined a set of requirements, we value transferable skills and diverse experiences.

If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate.