Junior Cloud Engineer → Cloud Engineer
A realistic transition from Junior Cloud Engineer to Cloud Engineer: transferable skills, the gaps to close, a step-by-step learning plan and alternative routes. Estimated skill overlap 53%. Difficulty: Medium.
Difficulty: Medium7 stepsDuration: 9 to 13 monthsOverlap: 53%
Transition from Junior Cloud Engineer to Cloud Engineer.
Skills to learn
- Identity & access management
- Containers
- Cost optimisation
Prerequisites
- Hands-on with one cloud provider: compute, storage, networking and IAM basics.
- Infrastructure as code with Terraform for simple, reproducible provisioning.
- Git for versioning infrastructure and configuration changes.
- Basic Linux command line and networking troubleshooting.
Step-by-step learning plan
1. Build on your Junior Cloud Engineer experience
2–4 weeks
Leverage
Map transferable skills — Linux — against what a Cloud Engineer needs.
2. Close the partial gaps toward Cloud Engineer
3–6 weeks
Improve
- AWS / Azure / GCP
- Terraform
- Cloud networking
- Scripting (Python)
Raise AWS / Azure / GCP, Terraform, Cloud networking to the level a Cloud Engineer relies on.
3. Learn the core of the Cloud Engineer role
6–10 weeks
Learn
- Identity & access management
- Containers
Technologies
GCPCloudFormationEKS
Cover the biggest gaps first: Identity & access management, Containers.
4. Master advanced Cloud Engineer skills
6–10 weeks
Learn
Technologies
LambdaGitLab CIVault
Handle the advanced topics: Cost optimisation.
5. Get productive with the Cloud Engineer toolchain
4–8 weeks
Technologies
GCPCloudFormationEKSLambdaGitLab CIVaultPrometheus
Be hands-on with GCP, CloudFormation, EKS and the rest of the target stack.
6. Practise Cloud Engineer work in real conditions
4–8 weeks
Ship a portfolio project or take on Cloud Engineer tasks at work.
7. Get certified and position yourself as a Cloud Engineer
4–8 weeks
Technologies
AWS Solutions Architect AssociateAZ-104Terraform Associate
Update your CV and LinkedIn around Cloud Engineer, then apply to target roles.
Learning outcomes
- Design and operate a secure landing zone with proper networking and IAM boundaries.
- Own cloud workloads end to end: cost, security, performance and availability.
- Automate provisioning and operations with Terraform and scripts.
- Apply tagging, cost controls and basic FinOps practices to cloud spend.
Practical projects
- Build a secure landing zone — Provision a VPC/VNet with public and private subnets, a NAT gateway, security groups and an IAM role for a workload — all in Terraform.
- Set up monitoring and alerts — Deploy a small workload and configure CloudWatch, Azure Monitor or Prometheus alerts on availability and latency, then test an alert.
- Estimate and reduce cost — Tag all resources, review the monthly bill, identify one waste (idle resource or oversized instance) and right-size it.