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Entry Level Cloud Engineer Jobs in Decatur, GA (NOW HIRING)

VHB

Entry Level Data Architect

Atlanta, GA · Hybrid

$95K - $98K/yr

Working knowledge of Python and C# programming * Familiarity with ETL/ELT pipelines using Azure ... Hands-on experience with cloud data platforms such as AWS or Azure is a plus Qualifications

VHB

Entry Level Data Architect

Atlanta, GA · Hybrid

$95K - $98K/yr

Working knowledge of Python and C# programming * Familiarity with ETL/ELT pipelines using Azure ... Hands-on experience with cloud data platforms such as AWS or Azure is a plus Qualifications

PurpleBox, Inc.

Cybersecurity Analyst

Atlanta, GA

... Cloud Computing, and DevOps consulting services that help businesses manage their business risk more effectively. Multiple Cybersecurity Analyst and Engineer Positions are available. * Entry Level to ...

Pwc

Guidewire Developer, Senior Associate

Atlanta, GA

$77K - $202K/yr

... cloud concepts - Experience with GOSU, PCFs, Business Rules, Underwriting Rules - Skilled in ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Atlanta, GA · On-site

$77K - $202K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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All JobsCloud Engineer JobsEntry Level Cloud Engineer JobsEntry Level Cloud Engineer Jobs in Decatur, GA

Entry Level Cloud Engineer information

See Decatur, GA salary details

$23

$61

$85

How much do entry level cloud engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for entry level cloud engineer in Decatur, GA is $61.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.36 and $69.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level cloud engineer, and why are they important?

To thrive as an Entry Level Cloud Engineer, you need foundational knowledge of cloud computing concepts, networking, and scripting, often supported by a degree in computer science or a related field. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, as well as certifications such as AWS Certified Cloud Practitioner or Azure Fundamentals, is highly valued. Strong problem-solving abilities, eagerness to learn, and effective teamwork set standout candidates apart. These skills are vital for building, maintaining, and optimizing cloud infrastructure in dynamic, collaborative technology environments.

Are entry level cloud engineers still in demand?

Entry level cloud engineers are in high demand due to the increasing adoption of cloud computing across industries. Skills in platforms like AWS, Azure, or Google Cloud, along with knowledge of scripting and certifications, enhance job prospects in this field.

What is the difference between Entry Level Cloud Engineer vs Cloud Support Associate?

AspectEntry Level Cloud EngineerCloud Support Associate
Required CertificationsBasic cloud certifications (e.g., AWS Certified Cloud Practitioner)Basic cloud certifications often preferred
Work EnvironmentDesigning, deploying, and managing cloud solutionsProviding technical support and troubleshooting cloud issues
Employer & Industry UsageTech companies, cloud service providers, enterprisesIT service providers, cloud vendors, support centers
Common Search & Comparison IntentUnderstanding entry-level roles in cloud computingClarifying support-focused cloud roles

The Entry Level Cloud Engineer typically focuses on designing and deploying cloud solutions, requiring foundational certifications and technical skills. In contrast, a Cloud Support Associate primarily provides technical support and troubleshooting for cloud services. Both roles are entry-level but differ in responsibilities and daily tasks, catering to different career paths within cloud computing.

What does an entry level cloud engineer do?

As an entry-level cloud engineer, you work as a junior engineer to learn more about cloud software and storage through hands-on training. Many of these roles are unpaid or paid internships rather than part-time or full-time employment. Your duties include tasks involved with cloud computing, like designing a cloud network or managing information stored in the cloud. You handle your responsibilities under the supervision of a skilled cloud engineer who trains you on the job. You need excellent computer, programming, and development skills and a willingness to learn how to work as a cloud engineer.

What are some common challenges faced by entry level cloud engineers, and how can they be addressed?

Entry level cloud engineers often encounter challenges such as navigating complex cloud environments, adapting to rapidly evolving technologies, and understanding the security best practices required for cloud infrastructure. To address these, it's important to actively seek mentorship from experienced team members, participate in ongoing training, and regularly practice with cloud platforms like AWS, Azure, or Google Cloud. Collaboration with cross-functional teams—such as developers and security specialists—also helps in gaining a broader perspective and accelerating learning.

What is an entry level cloud engineer?

Entry Level Cloud Engineers are professionals who assist in designing, implementing, and managing cloud-based solutions for organizations. They typically work with cloud platforms like AWS, Microsoft Azure, or Google Cloud to help migrate, deploy, or maintain applications and infrastructure. These roles are suitable for individuals who are new to cloud computing and often involve tasks such as configuring virtual machines, monitoring cloud resources, and supporting senior engineers. Entry level positions usually require foundational knowledge of cloud concepts, networking, and some scripting or programming experience.
More about Entry Level Cloud Engineer jobs
What are the most commonly searched types of Cloud Engineer jobs in Decatur, GA? The most popular types of Cloud Engineer jobs in Decatur, GA are:
What are popular job titles related to Entry Level Cloud Engineer jobs in Decatur, GA? For Entry Level Cloud Engineer jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Entry Level Cloud Engineer jobs in Decatur, GA look for? The top searched job categories for Entry Level Cloud Engineer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Entry Level Cloud Engineer jobs? Cities near Decatur, GA with the most Entry Level Cloud Engineer job openings:
Entry Level Cloud Engineer jobs near you
Infographic showing various Entry Level Cloud Engineer job openings in Decatur, GA as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $127,707 per year, or $61.4 per hour.

Consultative Offerings - Analyst - Infrastructure Engineering

Deloitte

Atlanta, GA • On-site

Other

Re-posted 24 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Are you ready to go beyond your potential and reach something greater? At Deloitte, we believe in more than just growth-we believe in exponential possibilities. Here, your unique talents and ambitions are amplified by the power of our collaborative teams, innovative thinking, and mentorship. When you join Deloitte, you don't just build a career-you unlock unlimited opportunities, shaping your future and the world around you. Take the power of you and put it to the power of Deloitte. Reach your exponential! 
 
Recruiting for this role ends on 08/07/2026. 
 

Work You will Do 


As an Infrastructure Engineering Analyst at Deloitte, you will launch your consulting journey with immersive training across the pillars of modern IT infrastructure, turning your curiosity and technical skill into real-world systems that power business growth, innovation, and security. From designing and building secure networks and modern data centers, to enabling the adoption of AI or high-performance computing (HPC), you'll gain firsthand experience with the diverse technology foundations essential for digital transformation. In this role, you will be empowered to deliver impactful infrastructure solutions that go far beyond keeping the lights on.
 

With the backing of industry leaders and a culture of mentorship, you will be set on a career path that can evolve toward ML engineering, AI architecture, cloud adoption, network SME, automation engineering-tailored to your interest and ambition. Are you ready to build and engineer the backbone of tomorrow's digital enterprise?  

 
Key Responsibilities: 

  • Advise: Guide organizations through Data Center and infrastructure transformation journeys, such as adopting AI, deploying high-performance computing (HPC) or edge computing solutions, modernizing legacy environments, or migrating workloads to the cloud. 
  • Design and Implement: Architect and implement comprehensive infrastructure solutions-including AI platforms, compute resources, storage, and networking-across cloud, on-premises, and hybrid environments. 
  • Automate and Optimize: Implement automation for infrastructure deployment, management, and monitoring using industry-leading tools (such as Terraform, Ansible, or CloudFormation), driving efficiency and consistency. 
  • Collaborate Across Teams: Work alongside multi-disciplinary teams-including data scientists, cloud architects, and application developers-to deliver optimized infrastructure for AI workloads, business-critical applications, and HPC projects. 
  • Stay Ahead of Trends: Maintain up-to-date knowledge of advancements in AI, cloud computing, network technologies, infrastructure automation, and trends in HPC infrastructure, ensuring innovative solutions for clients.

You'll help shape client solutions that are resilient, dependable, and ready to support the emerging needs of tomorrow's digital enterprise. 

 
The Team 

Deloitte's infrastructure professionals shape the technical foundation for our clients' most important initiatives, enabling secure, agile operations spanning cloud, modern data centers, HPC, and AI infrastructure. By embedding modern infrastructure expertise into every engagement, our teams help organizations scale digital innovations and put cutting-edge technology to work. Here, you'll join a culture committed to continuous learning, teamwork, and impact. 

 
Required Qualifications: 

  • Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027 pursuing a bachelor's degree or higher in a STEM-related discipline or a related/equivalent program
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future 
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve 
  • Must live within a commutable distance to your assigned office (e.g. 100-mile radius) with the ability to commute daily, if required, upon start date 
  • Candidates must be at least 18 years of age at time of employment 

Preferred Qualifications:

  • Strong interest in learning about AI infrastructure and/or high-performance computing concepts  
  • Foundational knowledge of IT infrastructure domains: networking, operating systems, virtualization, cloud 
  • Familiarity with scripting or automation tools (e.g., Python, PowerShell, Bash)  
  • Experience or exposure to configuration tools (e.g., AWS/Azure/GCP/HPE/Dell/Nvidia/VMware consoles or management tools)  
This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.  The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.  At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate is $100,000. 


Qualifications:
Are you ready to go beyond your potential and reach something greater? At Deloitte, we believe in more than just growth-we believe in exponential possibilities. Here, your unique talents and ambitions are amplified by the power of our collaborative teams, innovative thinking, and mentorship. When you join Deloitte, you don't just build a career-you unlock unlimited opportunities, shaping your future and the world around you. Take the power of you and put it to the power of Deloitte. Reach your exponential! 
 
Recruiting for this role ends on 08/07/2026. 
 

Work You will Do 


As an Infrastructure Engineering Analyst at Deloitte, you will launch your consulting journey with immersive training across the pillars of modern IT infrastructure, turning your curiosity and technical skill into real-world systems that power business growth, innovation, and security. From designing and building secure networks and modern data centers, to enabling the adoption of AI or high-performance computing (HPC), you'll gain firsthand experience with the diverse technology foundations essential for digital transformation. In this role, you will be empowered to deliver impactful infrastructure solutions that go far beyond keeping the lights on.
 

With the backing of industry leaders and a culture of mentorship, you will be set on a career path that can evolve toward ML engineering, AI architecture, cloud adoption, network SME, automation engineering-tailored to your interest and ambition. Are you ready to build and engineer the backbone of tomorrow's digital enterprise?  

 
Key Responsibilities: 

  • Advise: Guide organizations through Data Center and infrastructure transformation journeys, such as adopting AI, deploying high-performance computing (HPC) or edge computing solutions, modernizing legacy environments, or migrating workloads to the cloud. 
  • Design and Implement: Architect and implement comprehensive infrastructure solutions-including AI platforms, compute resources, storage, and networking-across cloud, on-premises, and hybrid environments. 
  • Automate and Optimize: Implement automation for infrastructure deployment, management, and monitoring using industry-leading tools (such as Terraform, Ansible, or CloudFormation), driving efficiency and consistency. 
  • Collaborate Across Teams: Work alongside multi-disciplinary teams-including data scientists, cloud architects, and application developers-to deliver optimized infrastructure for AI workloads, business-critical applications, and HPC projects. 
  • Stay Ahead of Trends: Maintain up-to-date knowledge of advancements in AI, cloud computing, network technologies, infrastructure automation, and trends in HPC infrastructure, ensuring innovative solutions for clients.

You'll help shape client solutions that are resilient, dependable, and ready to support the emerging needs of tomorrow's digital enterprise. 

 
The Team 

Deloitte's infrastructure professionals shape the technical foundation for our clients' most important initiatives, enabling secure, agile operations spanning cloud, modern data centers, HPC, and AI infrastructure. By embedding modern infrastructure expertise into every engagement, our teams help organizations scale digital innovations and put cutting-edge technology to work. Here, you'll join a culture committed to continuous learning, teamwork, and impact. 

 
Required Qualifications: 

  • Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027 pursuing a bachelor's degree or higher in a STEM-related discipline or a related/equivalent program
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future 
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve 
  • Must live within a commutable distance to your assigned office (e.g. 100-mile radius) with the ability to commute daily, if required, upon start date 
  • Candidates must be at least 18 years of age at time of employment 

Preferred Qualifications:

  • Strong interest in learning about AI infrastructure and/or high-performance computing concepts  
  • Foundational knowledge of IT infrastructure domains: networking, operating systems, virtualization, cloud 
  • Familiarity with scripting or automation tools (e.g., Python, PowerShell, Bash)  
  • Experience or exposure to configuration tools (e.g., AWS/Azure/GCP/HPE/Dell/Nvidia/VMware consoles or management tools)  
This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.  The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.  At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate is $100,000. 


Education:Bachelor's DegreeEmployment Type:

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