Cloud Infrastructure Engineer - The National Archives - HEO (IT)

Our Digital Services department is made up of several agile multi-disciplinary teams focusing on?different products?or services. Our purpose is to design and deliver user-centred services that make our collections accessible, usable, and relevant to a wide range of audiences.?? Our Digital Services team build and run services used by over 1 million people a month to access more than 30 million record descriptions, the catalogues of more?than 3,000 archives and educational and rich, interpretative content bringing the collection to life. This is an especially exciting time as we redevelop our digital offer. We are exploring?new approaches?and tools, simplifying key?transactions?and finding new ways to help people to use our collections.? Our?Cloud Infrastructure Engineer?has?a vital role to play in this. Candidate profile: This is a full-time post, but requests for part-time working, flexible working and job share will be considered, always?taking into account?the operational needs of the Department. A combination of onsite and home working is available and applicants should be able to regularly travel to our Kew site for a minimum of 60% of their work time. Application Process: You will be required to enter your work history details and provide an answer to the following sift question: Describe a time when you?encountered?a significant technical issue in a CI/CD pipeline or cloud infrastructure (e.g., AWS, Kubernetes, Docker). What steps did you take to?identify?the root cause and resolve the problem? Please explain in detail your troubleshooting process, the tools you used (such as Ansible, Terraform, or?monitoring?solutions), and how you ensured the issue would not recur. What did you learn from the experience?"? Your answer should include detailed examples of how you meet the first three essential criteria listed below Essential criteria:

1. Professional experience in DevOps, Infrastructure as Code and CI/CD pipeline development.?
2. Strong, practical experience in automation tools such as Ansible and Terraform.?
3. Experience deploying and?maintaining?containerised applications using Kubernetes?or?Docker.?
4. Good?demonstrable?knowledge of AWS services such as EC2, S3, RDS and Lambda.?
5. Experience in CI/CD pipeline development using GitHub Actions.?
6. Excellent problem-solving and troubleshooting skills.?
7. Strong?written and verbal?communication and interpersonal skills.?
8. Ability to work independently as well as in a team environment.?

Artificial intelligence Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance (opens in a new window) for more information on appropriate and inappropriate use. Interview: Interviews will be held on-site, including a technical test. All of the above criteria will be assessed at this stage