Production Engineer → Cloud Automation Engineer
A realistic transition from Production Engineer to Cloud Automation Engineer: transferable skills, the gaps to close, a step-by-step learning plan and alternative routes. Estimated skill overlap 20%. Difficulty: Medium.
Difficulty: Medium7 stepsDuration: 9 to 13 monthsOverlap: 20%
Transition from Production Engineer to Cloud Automation Engineer.
Skills to learn
- Terraform
- CI/CD
- AWS / Azure
- Kubernetes
- Policy-as-code (OPA)
- Git
Step-by-step learning plan
1. Build on your Production Engineer experience
2–4 weeks
Leverage
Map transferable skills — Python / Go — against what a Cloud Automation Engineer needs.
2. Close the partial gaps toward Cloud Automation Engineer
3–6 weeks
Improve
Raise Automation to the level a Cloud Automation Engineer relies on.
3. Learn the core of the Cloud Automation Engineer role
6–10 weeks
Learn
Technologies
GitHub ActionsAWSAzure
Cover the biggest gaps first: Terraform, CI/CD, Git.
4. Master advanced Cloud Automation Engineer skills
6–10 weeks
Learn
- AWS / Azure
- Kubernetes
- Policy-as-code (OPA)
Technologies
GoOPAVault
Handle the advanced topics: AWS / Azure, Kubernetes, Policy-as-code (OPA).
5. Get productive with the Cloud Automation Engineer toolchain
4–8 weeks
Technologies
GitHub ActionsAWSAzureGoOPAVaultArgoCDHelm
Be hands-on with GitHub Actions, AWS, Azure and the rest of the target stack.
6. Practise Cloud Automation Engineer work in real conditions
4–8 weeks
Ship a portfolio project or take on Cloud Automation Engineer tasks at work.
7. Get certified and position yourself as a Cloud Automation Engineer
4–8 weeks
Technologies
Terraform AssociateAWS DevOps Engineer ProfessionalCKA
Update your CV and LinkedIn around Cloud Automation Engineer, then apply to target roles.