Cloud Engineer
On this page
- What's it like to be a Cloud Engineer?
- How to become a Cloud Engineer
- Latest Cloud Engineer jobs
- Top skills and experience for Cloud Engineers
- Cloud Engineer role reviews
What's it like to be a Cloud Engineer?
Cloud Engineers are IT professionals who specialise in “the cloud”: software and services that run on the internet rather than localised computers. Businesses and organisations use the cloud in many ways, so the job of a Cloud Engineer may be varied and differ between businesses. Cloud Engineers build, develop, maintain and troubleshoot problems in the cloud. They may be responsible for maintaining security, tailoring cloud-based systems and applications for a specific organisation’s use, and educating members of the organisation on how to use cloud-based services and software. Cloud Engineers typically work within a business.
Tasks and duties
- Creating and maintaining cloud-based systems.
- Migrating existing company IT systems to the cloud.
- Optimising cloud systems for the needs of the business.
- Providing cloud support services to staff.
- Protecting against data breaches and security threats.
- Reviewing and testing cloud systems regularly.
- Staying up-to-date on developments in cloud computing, risks, threats and benefits.
How to become a Cloud Engineer
Qualifications and experience with computers, software, and IT are important if you want to become a Cloud Engineer.
- 1.
Complete a diploma (one-two years) or bachelor’s degree (three years) in a relevant field, such as computer science or information systems. Aspects of cloud computing will be part of the curriculum for these qualifications.
- 2.
Consider completing extra courses to gain specific knowledge, such as the Amazon AWS Cloud Practitioner certification. Cloud Engineers should regularly complete professional development to keep their knowledge and skills up to date, as things change quickly in the IT world and a degree or diploma alone cannot guarantee you will have up-to-date knowledge.
- 3.
Learn on the job. Every Data Engineering job is different and learning on the job is often as important as completing training before you start work.