System Engineer → Infrastructure Automation Engineer
A realistic transition from System Engineer to Infrastructure Automation Engineer: transferable skills, the gaps to close, a step-by-step learning plan and alternative routes. Estimated skill overlap 55%. Difficulty: Medium.
Difficulty: Medium7 stepsDuration: 9 to 13 monthsOverlap: 55%
Transition from System Engineer to Infrastructure Automation Engineer.
Skills to learn
- Terraform
- CI/CD
- GitOps basics
Step-by-step learning plan
1. Build on your System Engineer experience
2–4 weeks
Leverage
Map transferable skills — Ansible, Linux, Networking — against what an Infrastructure Automation Engineer needs.
2. Close the partial gaps toward Infrastructure Automation Engineer
3–6 weeks
Improve
- Cloud provisioning
- Python / Bash
Raise Cloud provisioning, Python / Bash to the level an Infrastructure Automation Engineer relies on.
3. Learn the core of the Infrastructure Automation Engineer role
6–10 weeks
Learn
Technologies
PulumiGitLab CIGitHub Actions
Cover the biggest gaps first: Terraform, CI/CD.
4. Master advanced Infrastructure Automation Engineer skills
6–10 weeks
Learn
Technologies
GCPVaultCloudFormation
Handle the advanced topics: GitOps basics.
5. Get productive with the Infrastructure Automation Engineer toolchain
4–8 weeks
Technologies
PulumiGitLab CIGitHub ActionsGCPVaultCloudFormationNginx
Be hands-on with Pulumi, GitLab CI, GitHub Actions and the rest of the target stack.
6. Practise Infrastructure Automation Engineer work in real conditions
4–8 weeks
Ship a portfolio project or take on Infrastructure Automation Engineer tasks at work.
7. Get certified and position yourself as a Infrastructure Automation Engineer
4–8 weeks
Technologies
Terraform AssociateRed Hat Certified EngineerAWS SysOps Administrator
Update your CV and LinkedIn around Infrastructure Automation Engineer, then apply to target roles.