Cloud Engineer

Step-by-Step Career Roadmap Guide to Get Job-Ready

Cloud engineering is now a high-demand career as companies move workloads, apps, and data to cloud platforms. With AI, a...

172,000+

Jobs Available Globally

$134,949

Average Salary
Cloud Engineer

Top Industries

Hiring cloud engineers

Financial Services
Healthcare
Technology

78%

Job Satisfaction

What Does a Cloud Engineer Do and Why Businesses Need Them?

Cloud engineers design, build, and maintain the infrastructure that keeps modern applications running. They provision computing resources, configure networks and storage, manage deployment pipelines, and ensure systems are secure, scalable, and cost-efficient.

Infrastructure Design

Design reliable, scalable, cost-efficient cloud systems

Deployment and Automation

Manage provisioning, CI/CD pipelines, and releases

Security and Compliance

Manage identity, network policies, and access controls

Monitoring and Optimization

Monitor system health, resolve incidents, and cut costs

Who Is This Career For?

For infrastructure pros moving into cloud-native career path

Infrastructure and Systems Focused

Comfortable with servers, networks, storage, and operating systems across hybrid environments

Automation and Tooling Oriented

Interested in scripting, infrastructure as code, & repeatable deployment workflows over manual setup

Security and Reliability Minded

Focused on access control, network security, uptime, and resilient system design

Cloud Engineer Salary Snapshot

Compensation grows as cloud pros move from support into architecture and platform ownership roles

Junior Cloud Engineer

$68,500 – $75,500

Cloud Engineer

$119,994 – $192,625

Senior Cloud Engineer

$147,053 – $213,176

*All salary figures referenced are based on data reported by employees on Glassdoor and Indeed, unless noted otherwise.

Step-by-Step Cloud Engineer Roadmap

A comprehensive guide to skills, responsibilities, and expectations at each career level

IT professionals moving from systems or network admin roles

CS graduates with basic exposure to cloud systems and tools

Developers or analysts shifting into DevOps and infra roles

Provision and manage cloud resources

Configure virtual networks and storage

Monitor systems and respond to basic incidents

Support deployment pipelines and automation tasks

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Cloud Fundamentals (IaaS, PaaS, SaaS)

Virtual Machines and Storage

Networking Basics (VPC, subnets, DNS)

Identity and Access Management

CLI and Scripting Basics

Incident Triage

Documentation

Ticket and Request Management

Cross-Functional Communication

Provisioning Script

Automates cloud setup, enabling teams to deploy infrastructure faster and more consistently.

Architecture Diagram

Maps cloud services, data flow, and system connections for clear technical planning.

Incident Response Runbook

Defines step-by-step actions for detecting, containing, and recovering from cloud incidents.

Resource Uptime

Incident Response Time

Ticket Resolution Rate

Deployment Success Rate

Cost Anomaly Flags

Configuration Drift Incidents

Walk me through how you would provision a virtual machine on a cloud platform and configure access securely.

How would you approach troubleshooting a service outage in a cloud environment where you do not yet have full system context?

How do you decide whether to use managed cloud services versus self-managed infrastructure for a given requirement?

Key Things to Know

Not necessarily. Basic knowledge of scripting languages like Bash or Python helps, but most entry-level cloud roles focus more on infrastructure configuration, CLI usage, and platform familiarity than on software development.

AWS, Azure, and GCP are the three dominant platforms. AWS has the largest market share and the widest range of certifications. Azure is common in enterprise environments. GCP is strong in data and AI workloads. Starting with anyone builds transferable skills.

Integrate security controls directly into the pipeline through policy-as-code checks and automated scanning, so security does not rely on manual gates that delay deployment. 

It means tagging resources accurately, setting budget alerts, rightsizing instances regularly, and reviewing Reserved Instance or Savings Plan coverage based on usage patterns.

The focus moves from building and managing individual services to defining how infrastructure works across the entire organization. Governance, standards, and platform thinking become as important as technical execution.

Success is tied to platform reliability, security posture, cloud spend efficiency, and how effectively teams can build on top of the infrastructure you own.

How to Get Started

Your learning roadmap from beginner to job-ready Cloud Engineer

1. Cloud Foundations

Learn

What cloud computing is and how IaaS, PaaS, and SaaS differ

Core services across AWS, Azure, or GCP (compute, storage, networking, IAM)

Cloud pricing models and shared responsibility

Practice & Deliver

1 free-tier cloud environment with a provisioned VM and configured access

1 diagram of a basic cloud architecture you designed

1 written comparison of two cloud services you evaluated

Pick A Learning Path

Track A

  • AWS Cloud Practitioner prep
  • Core AWS services overview
  • Billing and pricing fundamentals

Track B

  • Azure Fundamentals (AZ-900)
  • Core Azure services overview
  • Identity and governance basics

Track C

  • GCP foundational services
  • Cloud IAM and networking basics

2. Core Infrastructure Skills

Learn

Virtual machines, containers, and serverless services

Object, block, and file storage

VPCs, subnets, routing, and security groups

Practice & Deliver

1 deployed web application on a cloud VM with a configured security group

1 storage policy document covering access control and lifecycle rules

1 VPC architecture diagram with subnets and routing rules

Pick A Learning Path

Track A

  • EC2, S3, VPC on AWS
  • Linux CLI for cloud management
  • CloudWatch basics

Track B

  • Azure VMs, Blob Storage, VNets
  • Azure Active Directory basics
  • Azure Monitor introduction

Track C

  • GCP Compute Engine, Cloud Storage
  • GCP networking fundamentals
  • Cloud Logging and Monitoring

3. Automation and DevOps Practices

Learn

Infrastructure-as-Code with Terraform

CI/CD pipeline design and tooling

Container basics with Docker and introduction to Kubernetes

Practice & Deliver

1 Terraform module that provisions a repeatable cloud environment

1 CI/CD pipeline that deploys a sample application to a cloud service

1 containerized application deployed to a managed Kubernetes service

Pick A Learning Path

Track A

  • Terraform fundamentals
  • GitHub Actions CI/CD basics
  • Docker essentials

Track B

  • Ansible for configuration management
  • Jenkins or CircleCI pipeline labs
  • Kubernetes intro on EKS or AKS

Track C

  • Infrastructure-as-Code deep dive
  • GitOps with ArgoCD
  • Helm chart basics

4. Security and Observability

Learn

IAM roles, policies, and least-privilege principles

Network security groups, firewall rules, and encryption at rest and in transit

Logging, alerting, and observability tool setup

Practice & Deliver

1 IAM policy audit for a sample multi-account environment

1 monitoring dashboard with key infrastructure metrics and alerts

1 incident response runbook for a common cloud failure scenario

Pick A Learning Path

Track A

  • AWS Security Essentials
  • CloudTrail and Config Fundamentals
  • AWS Cost Explorer Basics

Track B

  • Azure Security Center and Defender
  • Microsoft Sentinel Intro
  • Azure Cost Management

Track C

  • GCP Security Command Center
  • Cloud Armor Fundamentals
  • GCP Billing and Budget Alerts

5. Choose Your Specialization

Learn

Platform Engineering: Internal platforms, golden paths, and self-service infrastructure

Cloud Security: Zero-trust, compliance, and threat detection

FinOps and Cost Optimization: Unit economics, commitments, and cost governance

Data and AI Infrastructure: Managed databases, ML pipelines, and AI compute

Multi-Cloud and Hybrid: Cross-platform architecture, connectivity, and migration patterns

Practice & Deliver

1 architecture case study, such as multi-account AWS

1 relevant certification, such as AWS Solutions Architect

1 portfolio project, such as a secure autoscaling app deployment with monitoring and IaC

Pick A Learning Path

Pro Tip

Tip: Certification significantly improves the relevance of hiring for cloud engineers. Employers use certifications as a proxy for verified platform knowledge, especially for roles requiring specific expertise in AWS, Azure, or GCP.

Key Things to Know

Most beginners can become job-ready in 6 to 9 months with cloud fundamentals, Linux, networking, projects, and hands-on labs.

You do not need advanced coding, but basic scripting in Python, Bash, or PowerShell helps with automation and troubleshooting.

Start with AWS, Azure, or Google Cloud, but focus first on core concepts like compute, storage, networking, IAM, and deployment.

Free Cloud Engineer Upskilling Resources

Free Courses

Introduction to Cloud Computing

Introduction to Cloud Computing

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Azure Fundamentals
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Azure Fundamentals

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Getting Started with AWS

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Upcoming Webinars - Free Masterclasses

Ask Me Anything session on Cloud Careers with Simplilearn Alumnus: Nikhil Chauhan
On Demand Webinar

Ask Me Anything session on Cloud Careers with Simplilearn Alumnus: Nikhil Chauhan

Fri, Feb 07, 2025, 9:30 PM (IST)
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How Our Cloud Architect Program Helps You Stand Out in the Job Market
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How Our Cloud Architect Program Helps You Stand Out in the Job Market

Tue, Apr 08, 2025, 9:00 PM (IST)
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Articles and Ebooks That You Can Access For Free

Ready to Start Your Cloud Engineer Journey

Connect with our learning consultant to get all your questions answered about programs, faculty, and more

Key Things to Know

Not always. Many cloud engineers come from systems administration, networking, or self-taught backgrounds. Certifications, hands-on project experience, and a strong grasp of infrastructure concepts matter more than a specific degree in most hiring contexts.

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