Cloud Engineer (Fixed Term)

Fixed-term: The funds for this post are available up to March 2027 in the first instance.

We are looking for an experienced and enthusiastic Cloud Engineer to be part of a new and exciting initiative to develop the UK Regional Centre (UKSRC) for the Square Kilometre Array (SKAO), the world's largest radio telescope.

The role is based in Research Computing Services (RCS) a leading UK National Supercomputing Centre and home to Dawn, the fastest AI supercomputer in the UK, providing facilities and services to world-renowned scientists, clinicians and engineers across the UK and Europe.

The University of Cambridge RCS is provider of HPC resources for UKSRC and is developing novel federated cloud platform technologies as well as providing leadership on system architecture. 

Who you'll be working with

The successful candidate will become part of a diverse team of systems engineers, astronomers, and computer scientists developing advanced solutions to support world class science and deliver service for processing data from the world's largest radio telescope running on a Kubernetes platform. You'll be working in a team of Cloud engineers, in collaboration with National and International colleagues to help deliver, operate and support the UKSRC and international cloud infrastructure and HPC resources as part of the development of the SKAO project.

What you will have

• Hands on experience in deploying and administering Linux operating systems.
• Familiarity of Ansible & Terraform for configuration management & IAC.
• Experience of virtualization technologies and cloud architecture, preferably but not limited to OpenStack.
• Basic knowledge of scripting languages primarily with Python & Bash.
• Experience of CI/CD principles, ideally but not essentially using a GitOps approach, using Helm & Kustomize.
• Development lifecycle tools, such as Git.
• Working with Agile methodologies & Jira.

Some desirable, but not essential, skills we are looking for

• Use of monitoring and reporting tools, such as Prometheus and Grafana.
• Experience of GitOps tooling such as ArgoCD or FluxCD.
• Knowledge of containerization technologies using Kubernetes & Docker.
• Experience working with HPC clusters and parallel file systems.
• Proven ability to work effectively within a team and individually.
• Experience in working in a scientific environment and/or providing support to researchers.

More information about the role is attached in the 'Further Particulars' document, click the 'Apply' button above. 

The University is supportive of hybrid working, where some work is undertaken on University premises and some in a remote working environment. The aim of our approach is to enable as many staff as possible to work in a hybrid way if they wish and where their role allows.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure (criminal records check) check and a security check.

We welcome applications from individuals who wish to be considered for flexible working arrangements.

We particularly welcome applications from women and /or candidates from a BME background as they are currently under-represented at this level in our department.

To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above. 

All queries should be directed to recruitment@uis.cam.ac.uk in the first instance, quoting reference VC45355.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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