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Hourly Cloud Computing Trainer Jobs in Georgia (NOW HIRING)

Salesforce, Inc.

Education Cloud Architect

Atlanta, GA · On-site +1

$66.25 - $82.25/hr

... security, cloud computing, distributed platforms, mobile platforms, and business intelligence ... Stay current through required product, sales, and procedural training and certifications * Lead ...

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Industry 4.0 Engineer

Atlanta, GA · On-site

... Cloud Computing. From designing and developing customized IoT solutions to implementing and ... Provide training to staff on new systems and technologies, ensuring smooth adoption and operation

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Industry 4.0 Engineer

Atlanta, GA

... Cloud Computing. From designing and developing customized IoT solutions to implementing and ... Provide training to staff on new systems and technologies, ensuring smooth adoption and operation

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Industry 4.0 Engineer

Atlanta, GA

... Cloud Computing. From designing and developing customized IoT solutions to implementing and ... Provide training to staff on new systems and technologies, ensuring smooth adoption and operation

TIER4 GROUP

Digital Transformation

Atlanta, GA · Hybrid

$80 - $85/hr

... training, and support for stakeholders at all levels. * Stakeholder Collaboration: Work closely ... Proficiency in digital transformation technologies (e.g., cloud computing, automation, AI/ML, ERP ...

360 IT Professionals

Business Analyst

Atlanta, GA · On-site

Our services also extend to the domain of Cloud Computing, where we provide Salesforce CRM to ... training in the Information Systems field. Full software development life cycle and project ...

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Hourly Cloud Computing Trainer information

What does an hourly cloud computing trainer do?

An Hourly Cloud Computing Trainer teaches individuals or groups about cloud computing concepts, platforms, and best practices on an hourly basis. They often deliver instruction on services like AWS, Azure, or Google Cloud, helping learners develop practical skills for deploying and managing cloud resources. Trainers may create curriculum, lead hands-on labs, and assess students' progress. Their role is typically contract-based or part-time, allowing organizations flexibility in training schedules.

What are some common challenges faced by hourly cloud computing trainers, and how can they be managed effectively?

Hourly Cloud Computing Trainers often encounter challenges such as adapting to learners' varying levels of technical expertise and keeping up with rapidly evolving cloud technologies. Balancing a flexible, hourly schedule while ensuring consistent course quality can also be demanding. To manage these challenges, trainers benefit from continuous professional development, utilizing updated training materials, and fostering strong communication with both learners and the organizations they support. Proactively seeking feedback and participating in cloud community forums can further enhance teaching effectiveness and adaptability.

What are the key skills and qualifications needed to thrive as an hourly cloud computing trainer, and why are they important?

To thrive as an Hourly Cloud Computing Trainer, you need expertise in cloud platforms (such as AWS, Azure, or Google Cloud), instructional skills, and a relevant educational background or industry certification. Familiarity with cloud management tools, virtualization software, and teaching technologies like learning management systems (LMS) is typically required, along with certifications like AWS Certified Solutions Architect or Microsoft Certified: Azure Fundamentals. Excellent communication, patience, and adaptability are essential soft skills for effectively conveying complex concepts to diverse learners. These skills enable trainers to deliver clear, engaging instruction and ensure learners gain practical, job-ready cloud computing knowledge.

What is the difference between Hourly Cloud Computing Trainer vs Cloud Support Specialist?

AspectHourly Cloud Computing TrainerCloud Support Specialist
CertificationsCloud certifications (AWS, Azure, GCP), training credentialsCloud certifications, technical support certifications
Work EnvironmentTraining sessions, workshops, online coursesHelp desks, technical support teams, client sites
Employer & IndustryTraining companies, educational institutions, cloud service providersIT departments, cloud service providers, tech companies

While both roles require cloud certifications and technical knowledge, the Hourly Cloud Computing Trainer focuses on educating learners through workshops and courses, whereas the Cloud Support Specialist provides technical assistance and troubleshooting support to users. The trainer's role is more educational and presentation-oriented, while the support specialist's role is more technical and problem-solving based.

What are the most commonly searched types of Cloud Computing Trainer jobs in Georgia?

The most popular types of Cloud Computing Trainer jobs in Georgia are:

What are popular job titles related to Hourly Cloud Computing Trainer jobs in Georgia?

For Hourly Cloud Computing Trainer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Hourly Cloud Computing Trainer jobs in Georgia look for?

The top searched job categories for Hourly Cloud Computing Trainer jobs in Georgia are:

What cities in Georgia are hiring for Hourly Cloud Computing Trainer jobs?

Cities in Georgia with the most Hourly Cloud Computing Trainer job openings:

Hourly Cloud Computing Trainer jobs near you
Infographic showing various Hourly Cloud Computing Trainer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 56% Full Time, 39% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution.

Cloud Engineer - Full Stack Developer

Innovative Solutions

Atlanta, GA

$100K - $160K/yr

Full-time

Re-posted yesterday

Key responsibilities

  • Build and modernize scalable AWS-based applications, including backend services, APIs, and user interfaces.

  • Migrate and refactor legacy applications into serverless, microservices architectures using AWS services like Lambda and API Gateway.

  • Collaborate with clients and project teams to design solutions, improve architectures, and deliver secure, scalable cloud applications.

Job description

As a Full Stack Cloud Engineer, you’ll build and modernize scalable AWS-based applications — developing backend services, APIs, and integrations while also contributing to frontend dashboards and user interfaces. One engagement you may be migrating and refactoring a legacy application into a serverless, microservices architecture using Lambda and API Gateway, the next you’re building full-stack cloud-native applications using React, Python, or Java with secure, event-driven AWS services. You’ll collaborate closely with clients and project teams to design solutions, improve architectures, and deliver modern cloud applications that are secure, scalable, and business-driven. 

What You’ll Do:

  • Assisting in the designing and building modern and highly scalable cloud-based applications for customers
  • Migrating and modernizing customer legacy applications using AWS services
    Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs
  • Actively participating in team meetings and cross-functional interactions
  • Keeping team members and supervisors informed of progress and issues
  • Actively contributing to client project status meetings
  • Contributing to R&D projects to validate/invalidate new services offerings
  • Remaining current with technology trends and new technologies
  • Proposing the latest technology usage and integration standards
  • Developing and managing backend infrastructure, APIs and integrations to support cloud-based solutions, using programming languages like Python, Java, and PHP
  • Participating in code reviews, document infrastructure-as-code, and assist with UI/UX
  • Building out frontend interfaces and dashboards for applications and infrastructure using languages like Angular and React
  • Utilizing best practices for security, compliance, and business continuity in cloud solutions
 

Required Skills

  • 5+ years’ experience as a cloud engineer with hands-on expertise across AWS cloud services
  • Strong experience with infrastructure-as-code tools like CloudFormation
  • Experience coding in multiple languages including Node.js, Python, Angular, React, .NET Core, .NET Framework
  • Experience using AWS platforms including but not limited to Cognito and Amplify
  • Understanding of modern app architectures in cloud environments
  • Able to collaborate with cloud engineer and project management teams
 

Preferred

  • AWS Certification(s) a must have (can be obtained upon hire) - minimum requirement at 90 days is AWS Certified Developer Associates
  • In-depth experience with one or more programming languages like Java, JavaScript, Python, C# used for developing cloud-native applications.
  • Understanding of cloud computing concepts - IaaS, PaaS, serverless, containers etc.
  • Working knowledge of Amazon Web Services - key services like EC2, S3, Lambda, API Gateway, ECS, Fargate, RDS etc.
  • Experience using AWS command line tools and SDKs to manage infrastructure as code
  • Building, deploying, managing microservices applications on AWS
  • Working with AWS data storage solutions like DynamoDB, NoSQL, and Aurora RDS
  • Experience with containers & orchestration platforms like Docker, Kubernetes on AWS Security best practices for applications in the public cloud
  • Experience with CI/CD pipelines and automated testing
  • Building event-driven architectures on cloud platform
  • Using infrastructure as code tools like CloudFormation
  • Frontend JavaScript frameworks like React
  • Machine learning capabilities like SageMaker
  • Leveraging serverless architectures where applicable
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.