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Cloud Developer

Also goes by: Cloud Developer, Cloud Architect, Network Engineer(Cloud),

What Is a Cloud Developer?

Cloud developers specialize in building and maintaining cloud-based applications and infrastructure. They are often skilled with platforms such as AWS, Google Cloud, or Azure.

How much will I make?

Salaries can range by location and years of experience, but these are averages for the US.

according to Salary.com

Will I get a job?

Projected job growth is 31% for the period 2020-2030 in the US, according to the U.S. Bureau of Labor Statistics.

Total Openings
according to comptia.org

Who will I work for?

  • Tech Companies
  • Software Companies
  • Consulting Firms
  • E-commerce Companies

Cloud Developer’s Daily Activities

No Cloud Developer works alone! Cloud Developers spend their days collaborating with designers, other developers, and product or project managers to bring cloud-based applications to life. Below you will get a sense for what a day-in-the-life of a Cloud Developer could be:

Collaborate With Your Team Members to Build cloud-based applications

Cloud Developers work hand-in-hand with their team members to create cloud-based applications. In order to do this, you’ll need to have an understanding of a wide variety of skills including Cloud Platforms, Infrastructure as Code (IaC), Command Line. Collaboration can take many forms, including planning and strategy meetings, design brainstorms, reviews, and pairing.

Code Your cloud-based application

Much of a Cloud Developer’s day is spent coding. In practice this means having a development environment set up on one’s computer that allows you to track your progress as you go.

Test Your cloud-based application

One of the joys of working as a Cloud Developer is that cloud-based applications are ALWAYS breaking! As a Cloud Developer one of your core duties is testing your cloud-based applications for bugs and errors and working to fix them

How To Become a

Cloud Developer

It’s absolutely possible to become a Cloud Developer even if you have no prior experience in tech and no degree. In fact, a career as a Cloud Developer is one of the best entry level jobs in tech. Read on to learn how to do it!


Learn The Required Skills

First things first, in order to become a Cloud Developer you have to learn the required tech skills!

Cloud Platforms

Cloud platforms refer to online services that provide scalable computing resources, storage, and services over the internet, enabling organizations to deploy, manage, and run applications without the need for on-premises infrastructure. The most commonly used cloud platforms are Amazon Web Services (AWS), Google Cloud, and Microsoft Azure.

Infrastructure as Code (IaC)

Infrastructure as code (IAC) is the practice of managing infrastructure using code. IAC tools, such as Terraform and Cloudformation, make it possible to create, deploy, and manage infrastructure using code.

Command Line

The command line is the opposite of using something like OS X or Windows; no mouse, no icons, nothing but text. It’s a way for you to type commands to your computer and it’s used for all types of things in programming.

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DevOps practices

DevOps practices are a set of principles and practices that aim to improve the speed, agility, and reliability of software delivery.


Containerization is a technology that allows you to package your application and its dependencies into a single container image. Containerization is a popular choice for deploying web applications, microservices, and other distributed applications. Popular tools include Docker and Kubernetes.


Orchestration refers to coordinating and automating various components or services in a system to achieve a specific workflow or task.

Cloud Security

Cloud security involves protecting data, applications, and resources stored on or accessed through cloud platforms, implementing security measures to safeguard against data breaches, unauthorized access, and other cyber threats.

Network Configuration

Network configuration involves setting up and adjusting network settings, such as IP addresses, DNS, and gateways, to enable communication between devices effectively.


CI/CD is a software development practice that automates the process of building, testing, and deploying code. There are a number of CI/CD tools available, such as Jenkins, CircleCI, and Travis CI.

Data Science

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data, helping businesses make data-driven decisions.

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Python is a general-purpose coding language—which means it can be used for other types of programming and software development besides web development.

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R is a programming language used for statistical computing and graphics, widely used among statisticians, data scientists, and researchers for data analysis and visualization.

Statistical analysis

The process of collecting, organizing, summarizing, and interpreting data to draw conclusions, make inferences, and support decision-making.

Machine Learning

Machine learning is the process of developing machines, software programs, and other computer systems capable of “learning” and applying learned knowledge without specific instructions.

Deep learning

Deep learning is a type of machine learning that uses artificial neural networks to learn from data.

Data visualization

Data visualization is the process of transforming data into a visual format that is easy to understand and interpret. Data visualization is used to communicate insights from data to stakeholders.


SQL stands for “Structured Query Language” and it is a programming language used to manage data in relational database management systems, creating data structures, and accessing data in web development.

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NoSQL databases

NoSQL databases are non-relational databases that provide flexible data models, suitable for handling large volumes of unstructured or semi-structured data, offering advantages in certain use cases over traditional relational databases.

Big Data

Big data is a term used to describe data sets that are too large or complex to be processed using traditional data processing methods. Big data is often used to analyze customer behavior, predict trends, and make better decisions.

Data Structures

Data structures are data organizations that allow for efficient access and manipulation of data.


Algorithms are step-by-step procedures or sets of rules designed to solve specific problems or perform tasks in computing and other fields, helping computers process and analyze data efficiently.

Version Control

Version control is the management of changes to documents, source code, or other files, allowing multiple users to collaborate and track revisions, facilitating teamwork and preventing conflicts.

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Build A Portfolio

The best way to demonstrate that you have the necessary skills—especially when you have no prior experience—is with a portfolio of professional quality coding samples.

Check out these blog posts for more:


Apply For Tech Jobs

Once you’ve learned all the required technical skills and built a killer portfolio, it’s time to dust off that old resume and LinkedIn profile and hit the pavement, or Internet superhighway as it were, in search of your first job as a Front End Developer!

➡️ Prepare Your Resume, LinkedIn, and Portfolio

Although your most valuable asset as you job search is your portfolio, you do have to cross your t’s and dot your i’s and when it comes to the job search that means optimizing your resume and LinkedIn profile. Tech employers expect you to have all three!

Check out these blog posts for more:

➡️ Build Your Network

Your net worth is in your network, which can be hard when you’re changing careers! But don’t worry, the tech industry is incredibly welcoming to newcomers. Whether you prefer in-person meetups, Slack channels, coffee-over-zoom chats, conferences, hack-a-thons or a little bit of everything, there are tons of opportunities for you to meet fellow techies.

Check out these blog posts for more:

➡️ Find Good Jobs To Apply For

A good job can be hard to find—or is it? The good news about tech is that there are so many openings at so many diverse companies that your biggest challenge will most likely be keeping up with all the opportunities!

Check out these blog posts for more:

➡️ Practice Interviewing

Whether you’re a season pro, or brand new to the tech industry: interviewing for a new job is tough! Add to that technical interviews…and you’ve got a recipe for heartburn, practically guaranteed. Luckily there’s an antacid on the market that works every time: practice. Read on for expert guidance on how to prepare for your next tech job interview.

Check out these blog posts for more:

➡️ Prepare for Technical Tests

Ah the dreaded technical test! Technical tests can come in many different forms: whiteboard tests, pair programming tests, take-home tests, algorithmic tests…just to name a few. Luckily, getting good at technical tests is a skill, just like anything else, and it’s one you can absolutely practice ahead of time.

Check out these blog posts for more:

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  • What does a Cloud Developer do?

  • How much do Cloud Developers make?

  • Is a Cloud Developer the same as a Cloud Developer?

  • Are Cloud Developer in demand?

  • Is a Cloud Developer a good job?

  • What skills does a Cloud Developer need?

  • Is it too late to become a Cloud Developer at 35?