Cloud
+48% demand
Cloud Infrastructure Engineer
Design, implement, and manage scalable cloud infrastructure for modern applications.
12-24 months
4.7/5 rating
8 Phases
Start Learning Path
+48%
AWS
Azure
GCP
Terraform
Docker
Skills & Technologies
AWS
Azure
GCP
Terraform
Docker
Kubernetes
CI/CD
Linux
Monitoring
Security
Cloud Infrastructure Engineer Roadmap
Phase 1: Cloud & Linux Fundamentals
1.5 months
Topics Covered:
- Basics of Cloud Computing (IaaS, PaaS, SaaS)
- Linux OS commands, shell scripting
- Understanding virtualization and networking
- Intro to AWS, Azure, and GCP platforms
- Identity & Access Management (IAM)
Phase 2: Infrastructure as Code (IaC)
2 months
Topics Covered:
- Terraform fundamentals and syntax
- Creating and managing cloud infrastructure using Terraform
- State files and remote backends
- Modules, variables, and outputs in IaC
- Infrastructure provisioning with best practices
Hands-on Projects:
- Provision an EC2 + VPC + RDS setup using Terraform
Phase 3: Containers and Orchestration
2 months
Topics Covered:
- Docker basics: images, containers, volumes, networking
- Docker Compose for multi-container apps
- Kubernetes core concepts: Pods, Deployments, Services
- Setting up local Kubernetes (Minikube, Kind)
- Hands-on with managed Kubernetes (EKS, GKE, AKS)
Hands-on Projects:
- Deploy a containerized web app using Kubernetes
Phase 4: CI/CD & Automation
1.5 months
Topics Covered:
- CI/CD principles and DevOps culture
- Jenkins, GitHub Actions, or GitLab CI basics
- Automating builds, tests, and deployments
- Using CI/CD for infrastructure deployments (IaC pipelines)
- Artifact storage and versioning
Hands-on Projects:
- Build a CI/CD pipeline to deploy infrastructure and app
Phase 5: Monitoring & Logging
1.5 months
Topics Covered:
- CloudWatch (AWS), Azure Monitor, GCP Operations Suite
- Log aggregation with ELK stack (Elasticsearch, Logstash, Kibana)
- Prometheus and Grafana for Kubernetes monitoring
- Alerting strategies and anomaly detection
- Distributed tracing (OpenTelemetry basics)
Hands-on Projects:
- Set up monitoring for a Kubernetes cluster
Phase 6: Security & Cost Optimization
1 month
Topics Covered:
- Cloud security best practices (encryption, IAM, VPCs, firewalls)
- Secret management (AWS Secrets Manager, Vault)
- Data compliance and governance (GDPR, HIPAA basics)
- Cost management tools and optimization strategies
- Billing alerts and rightsizing resources
Hands-on Projects:
- Audit and secure an existing cloud infrastructure
Phase 7: Multi-Cloud and Advanced Topics
1.5 months
Topics Covered:
- Comparing AWS vs Azure vs GCP core services
- Using Terraform for multi-cloud deployment
- Hybrid cloud and edge computing basics
- Disaster recovery and high availability design
- Site Reliability Engineering (SRE) intro
Hands-on Projects:
- Deploy a highly available multi-cloud architecture
Phase 8: Capstone Cloud Engineering Project
2 months
Topics Covered:
Hands-on Projects:
- Design and deploy a secure, scalable infrastructure on AWS/GCP/Azure
- Use Docker, Kubernetes, Terraform, and CI/CD
- Integrate monitoring and alerting
- Apply cost-saving techniques and ensure security compliance
- Document and share on GitHub
Tools & Resources
AWS
Azure
GCP
Terraform
Docker
Kubernetes
GitHub Actions
Jenkins
Prometheus
Grafana
CloudWatch
ELK Stack
Linux
Git
