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  3. Cloud Engineer


Cloud Engineer

A cloud engineer is mainly responsible to identify the most optimal cloud-based solutions for the clients and maintain cloud infrastructures in accordance with best practices and company security policies. Cloud Engineers must have technical skills, business skills, and data analysis skills as well. They must deploy and debug cloud initiatives, use their knowledge of APIs to design cloud services that can be integrated into the existing data providers.

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Skills Covered in this Path

  • Cloud Fundamentals
  • Service Delivery Models
  • Service Deployment Models
  • Pricing & Scaling
  • Cloud Service Models
  • Trends in Service Models
  • Basics of Cloud Computing
  • Cloud Computing Platforms
  • Types of cloud deployment
  • Cloud Computing Architecture
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud Platform
  • Cloud Virtualization
  • Cloud Centralization
  • Distributed Computing
  • Cloud Applications
  • Cloud Computing Fundamentals
  • AWS Fundamentals
  • AWS Management
  • AWS Cloud Storage
  • Database Services on AWS
  • Understanding how to build an app on AWS
  • Deploying the App
  • Building chatbots in Azure
  • Building websites using Azure
  • Cloud computing
  • Cloud service providers
  • GCP global infrastructure
  • Google Cloud Storage services
  • Linux
  • CLI
  • Ubuntu
  • Version Control
  • Containerising
  • Continuous Integration
  • Docker
  • Docker Best practices
  • Optimizing Docker Files
  • Docker
  • Docker Storage
  • Docker Network
  • Docker Compose
  • Docker
  • grafana
  • prometheus
  • Docker Monitoring
  • Docker
  • Docker swarm
  • Orchestration
  • AWS ECR
  • AWS ECS
  • Docker
  • grafana
  • prometheus
  • Docker Monitoring
  • Spring boot
  • Deployment
  • Containerization
  • YAML files
  • Kubernetes Architecture
  • Splunk Index Creation
  • Splunk Data Searching
  • Splunk Basics
  • Java Basics
  • Variables and Data Types
  • Functions in Java
  • Arrays in Java
  • Object-Oriented Programming in Java
  • Inheritance in Java
  • Programming Concepts
  • Python Basics
  • Variables and Data types in Python
  • Operators and Strings in Python
  • Python Data Structures
  • Control Flow Statements and Functions
  • OOPs
  • Jenkins
  • Continuous Integration
  • GitHub
  • Committing
  • Merging
  • Branches
  • Creating Pull Requests

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Frequently Asked Questions

How should I start learning Cloud Engineering or Cloud Computing?

Online platforms have been booming since the COVID-19 pandemic, and they are the ideal choice for beginners or professionals as these platforms provide numerous benefits to aspirants.

Numerous sources are available online for learning Cloud Engineering or Cloud Computing. A few popular sources include YouTube, Books, Coding Bootcamps, and E-Learning Platforms. To give some instances, you can kick-start with the following sources:

E-Learning Platforms: Great Learning - Cloud Computing Courses

Which course is best for becoming a Cloud Engineer?

Great Learning’s Post Graduate Program in Cloud Computing is one of the best courses for becoming a Cloud Engineer. Great Learning is a top-tier institute that offers courses in multiple areas like Data Science, Artificial Intelligence, Software Development, Cyber Security, Digital Marketing, and much more. 

Highly experienced faculty from Great Learning teach this program, and highly skilled mentors from different tech goliaths provide personalized career guidance throughout the program. After successfully completing the course, it also awards learners post-graduate certification in Cloud Computing. It covers 90+ cloud services and various in-demand tools offered by AWS, Azure, GCP, and more.

[Browse through the Cloud Computing Program for in-depth information]

Is Cloud Engineer a good career?

Yes, Cloud Engineer is a good career since it has gained immense popularity and demand amongst tech goliaths across the globe. According to a report by MarketsandMarkets, the Cloud Computing market worldwide is projected to reach around USD 947.3 Billion by 2026, from USD 445.3 Billion in 2021, at a CAGR of 16.3% during the forecast period. 

Cloud Engineers are responsible for implementing technical duties associated with Cloud Computing, which involves anything from designing Cloud environments to implementing and maintaining them. A Cloud Engineer will have expertise in at least one of the significant Cloud service providers: AWS, Azure, or GCP. 

Consequently, Cloud Engineer jobs are in tremendous demand, making a handsome salary throughout the planet. Currently, numerous job positions are accessible in this discipline across various industries across the globe, and these openings can be found on platforms like Indeed, LinkedIn, etc.

How much does being a Cloud Engineer make?

A Cloud Engineer makes a generous salary throughout the planet. A few Cloud Engineer salaries from different countries are mentioned below:

  • United States: $68.5k to $178.5k with a median salary of $128.8k per annum (ZipRecruiter)
  • Canada: CA$80k to CA$142k with a median wage of CA$115k per annum (SalaryExpert)
  • United Kingdom: £42,500 to £72,500 with a median salary of £55,000 per annum (Talent.com)
  • India: ₹3L to ₹12L with a median wage of ₹6L per annum (Glassdoor)
  • Australia: AU$94k to AU$168k with a median salary of AU$135k per annum (SalaryExpert)

How long does it take to become a Cloud Engineer after the 12th standard?

It relies on the prerequisites of an organization, where few corporations require a Bachelor’s Degree in Computer Science or Information Technology. Contrary to it, specific tech giants like Amazon, Microsoft, Google, Apple, etc., don’t mandate any degree as they primarily focus on an aspirant’s talent and skill set. 

However, it usually takes 3-4 years to become a Cloud Engineer after the 12th standard as most organizations require a Bachelor’s Degree. Nevertheless, an aspirant can instantly become a Cloud Engineer at a beginner’s level by cracking the jobs in tech giants like Amazon, Microsoft, Google, or Apple. But the aspirant must hold immense expertise in numerous technical skills like programming languages, databases, operating systems, DevOps, APIs, Web Services, Cloud Services, or have implemented any Cloud-related projects.