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Cloud Computing Developer Jobs in Atlanta, GA (NOW HIRING)

... computing (EUC). The role is responsible for driving architecture standards, modernization roadmaps, governance, and engineering alignment across enterprise technology domains. Cloud Strategy ...

The ideal candidate will possess a strong technical background in systems administration, cloud computing, and infrastructure as code, with a particular focus on solution engineering/site reliability.

Sr Software Engineer - 20198

Hapeville, GA · On-site

$101K - $169K/yr

Stay up to date with advancements in cloud computing, DevOps, AI, and software best practices. * Adaptability: Thrive in dynamic environments and pivot easily when priorities shift. * Collaboration ...

Sr Software Engineer - 20198

Norcross, GA · On-site

$101K - $169K/yr

Stay up to date with advancements in cloud computing, DevOps, AI, and software best practices. * Adaptability: Thrive in dynamic environments and pivot easily when priorities shift. * Collaboration ...

Sr Software Engineer - 20198

Atlanta, GA · On-site

$101K - $169K/yr

Stay up to date with advancements in cloud computing, DevOps, AI, and software best practices. * Adaptability: Thrive in dynamic environments and pivot easily when priorities shift. * Collaboration ...

Stay up to date with advancements in cloud computing, DevOps, AI, and software best practices. * Adaptability: Thrive in dynamic environments and pivot easily when priorities shift. * Collaboration ...

Sr Software Engineer - 20198

Conley, GA · On-site

$101K - $169K/yr

Stay up to date with advancements in cloud computing, DevOps, AI, and software best practices. * Adaptability: Thrive in dynamic environments and pivot easily when priorities shift. * Collaboration ...

Sr Software Engineer - 20198

Tucker, GA · On-site

$101K - $169K/yr

Stay up to date with advancements in cloud computing, DevOps, AI, and software best practices. * Adaptability: Thrive in dynamic environments and pivot easily when priorities shift. * Collaboration ...

Stay up to date with advancements in cloud computing, DevOps, AI, and software best practices. * Adaptability: Thrive in dynamic environments and pivot easily when priorities shift. * Collaboration ...

Stay up to date with advancements in cloud computing, DevOps, AI, and software best practices. * Adaptability: Thrive in dynamic environments and pivot easily when priorities shift. * Collaboration ...

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Cloud Computing Developer information

See Atlanta, GA salary details

$10

$59

$81

How much do cloud computing developer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for cloud computing developer in Atlanta, GA is $59.35, according to ZipRecruiter salary data. Most workers in this role earn between $52.02 and $71.20 per hour, depending on experience, location, and employer.

Will AI replace cloud developers?

AI is unlikely to fully replace cloud computing developers, as their role involves designing, implementing, and managing complex cloud infrastructure that requires human expertise. AI tools can assist with automation and routine tasks, but skilled developers are needed for architecture, troubleshooting, and strategic decision-making in cloud environments. Continuous learning and certification in cloud platforms remain important for job security in this field.

What are some common challenges Cloud Computing Developers face when integrating new cloud services into existing systems?

Cloud Computing Developers often encounter challenges such as ensuring compatibility between legacy infrastructure and new cloud services, managing data migration with minimal downtime, and addressing security and compliance concerns during integration. Collaboration with cross-functional teams, including DevOps and security specialists, is essential to identify potential risks and design seamless workflows. Staying updated with evolving cloud technologies and best practices also helps developers effectively overcome these integration hurdles.

What is a Cloud Computing Developer?

A Cloud Computing Developer is a software professional who designs, develops, and maintains applications and services that run on cloud platforms such as AWS, Microsoft Azure, or Google Cloud. Their work involves using cloud-based infrastructure, APIs, and tools to build scalable, secure, and reliable solutions. These developers often work with technologies like containers, serverless computing, and cloud databases, and are responsible for ensuring cloud applications perform efficiently. They also focus on optimizing costs, managing cloud resources, and implementing security best practices in the cloud environment.

What is the difference between Cloud Computing Developer vs Cloud Software Engineer?

AspectCloud Computing DeveloperCloud Software Engineer
Primary FocusDesigning and developing cloud-based applications and solutionsBuilding, deploying, and maintaining cloud infrastructure and services
Skills & CertificationsCloud platforms (AWS, Azure), programming, APIs, DevOpsCloud architecture, scripting, automation, CI/CD tools
Work EnvironmentDevelopment teams, cloud platforms, software projectsOperations, infrastructure, deployment pipelines
Industry UsageTech companies, SaaS providers, startupsEnterprises, cloud service providers, IT departments

While both roles involve cloud technologies, Cloud Computing Developers focus on creating cloud applications, whereas Cloud Software Engineers work on cloud infrastructure and deployment systems. Understanding these differences helps in choosing the right career path or job search focus.

Is 28 too late for cloud or cybersecurity?

Cloud computing developers and cybersecurity professionals can start at any age, including 28, as these fields value skills, certifications, and experience over age. Many successful professionals transition into these careers later in life by gaining relevant knowledge through training, certifications like AWS or CompTIA Security+, and hands-on experience.

Can I learn cloud in 3 months?

A Cloud Computing Developer can acquire foundational cloud skills in about three months with focused study on core concepts, cloud platforms like AWS, Azure, or Google Cloud, and hands-on practice with tools and certifications such as AWS Certified Solutions Architect. However, mastering advanced topics and gaining extensive experience typically requires longer-term learning and real-world application.

What are the key skills and qualifications needed to thrive as a Cloud Computing Developer, and why are they important?

A Cloud Computing Developer should have strong programming skills (such as Java, Python, or Go), knowledge of cloud architecture, and experience with major cloud platforms like AWS, Azure, or Google Cloud, often supported by relevant certifications. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code (e.g., Terraform) is typically required. Problem-solving ability, teamwork, and effective communication are crucial soft skills for designing scalable solutions and collaborating with cross-functional teams. These skills ensure the developer can build reliable, secure, and efficient cloud applications that meet organizational needs.

Is cloud developer a good career?

A cloud computing developer is a valuable role focused on designing, building, and maintaining cloud-based applications and infrastructure. It typically requires skills in cloud platforms like AWS, Azure, or Google Cloud, along with programming and security knowledge. The demand for cloud developers is high due to the increasing adoption of cloud technology across industries.
What are popular job titles related to Cloud Computing Developer jobs in Atlanta, GA? For Cloud Computing Developer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Cloud Computing Developer jobs in Atlanta, GA look for? The top searched job categories for Cloud Computing Developer jobs in Atlanta, GA are:

Senior AWS Cloud & Generative AI Engineer

Purple Drive Technologies

Atlanta, GA • On-site

$53.50 - $71.75/hr

Full-time

Posted 9 days ago


Job description

Overview:
Key Responsibilities:
  • Design, develop, and implement Generative AI solutions leveraging Amazon Bedrock and related AWS services.
  • Configure and optimize Amazon Bedrock Agent Orchestration for intelligent workflow and model lifecycle management.
  • Apply Prompt Engineering methodologies for fine-tuning and optimizing AI model outputs.
  • Implement Amazon Bedrock Guardrails to ensure compliance, brand safety, and responsible AI governance.
  • Integrate and manage Amazon Knowledge Bases and Vector Databases to enhance contextual understanding and retrieval-augmented generation (RAG) workflows.
  • Employ MLOps practices to automate model training, deployment, and monitoring within enterprise environments.
  • Build and maintain CI/CD pipelines to support scalable and efficient deployment of AI and cloud-native applications.
  • Utilize AWS services including CloudFormation, CDK, Step Functions, Lambda, EventBridge, DynamoDB, S3, Glue, and Athena to design and orchestrate robust cloud infrastructures.
  • Develop infrastructure as code (IaC) solutions using AWS CDK and CloudFormation, ensuring version control and repeatable deployments.
  • Collaborate with data scientists, solution architects, and DevOps teams to integrate AI capabilities with existing business systems.
  • Create and maintain comprehensive technical documentation, including runbooks, design documents, and troubleshooting guides for deployed solutions.
  • Ensure all solutions meet AWS best practices for security, compliance, scalability, and cost optimization.
Required Skills & Experience:
  • 10+ years of hands-on experience in AWS Cloud Computing within enterprise environments.
  • Proven experience with Amazon Bedrock, including agent orchestration, workflow management, and model fine-tuning.
  • Strong knowledge of Generative AI architectures, LLM integration, and Prompt Engineering techniques.
  • Expertise in AWS Cloud Development Kit (CDK), CloudFormation, and Infrastructure as Code (IaC) principles.
  • Proficiency with AWS services such as S3, Lambda, EventBridge, DynamoDB, Glue, Step Functions, and Athena.
  • Experience implementing MLOps pipelines using AWS-native tools and frameworks.
  • Solid understanding of CI/CD pipeline automation using AWS or third-party tools (e.g., CodePipeline, Jenkins, GitHub Actions).
  • Familiarity with security and compliance standards for AI and cloud environments.
  • Strong problem-solving, analytical, and communication skills, with a proven ability to work collaboratively across technical and non-technical teams.
Preferred Qualifications:
  • AWS Certified Solutions Architect / DevOps Engineer / Machine Learning Specialty certification.
  • Experience deploying Retrieval-Augmented Generation (RAG) systems using AWS Bedrock and vector search technologies.
  • Prior experience integrating LLMs (e.g., Anthropic Claude, Amazon Titan, or other Bedrock models) into enterprise solutions.
  • Working knowledge of Python, TypeScript, or Java for automation and API integration.