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Remote Associate Cloud Engineer Jobs in Georgia (NOW HIRING)

YO AI Labs

Infrastructure Expert - Remote

Atlanta, GA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

YO AI Labs

Backend Java Developer - Remote

Atlanta, GA · Remote

$60 - $110/hr

Backend Java Developer Job Type: Contractor Location: Remote Job Overview We are seeking ... Experience with AWS, Azure, or Google Cloud . * Experience with high-availability or distributed ...

Humana

Senior Systems Engineer

Atlanta, GA · On-site +1

$100K - $137K/yr

... Code), cloud and server technologies, and backup and disaster recovery solutions. The ideal ... Location Remote Candidates must be located in one of the following markets: Louisville, KY ...

Humana

Senior Systems Engineer

Atlanta, GA · On-site +1

$100K - $137K/yr

... Code), cloud and server technologies, and backup and disaster recovery solutions. The ideal ... Location Remote Candidates must be located in one of the following markets: Louisville, KY ...

BSC Analytics

$150K - $175K/yr

Remote (USA) Compensation: $150,000 - $175,000 / year Description As a Senior Platform Engineer at ... Our work spans cloud migrations, modernization programs, Kubernetes platforms, and DevOps ...

Motorola

Senior DevOps Engineer (US REMOTE)

Atlanta, GA · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Design, develop, and maintain scalable cloud infrastructure * Automate deployment, scaling and ...

YO AI Labs

Mental Health Expert - Remote

Atlanta, GA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

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Remote Associate Cloud Engineer information

What is a remote associate cloud engineer?

A Remote Associate Cloud Engineer is an entry-level IT professional who helps design, deploy, and manage cloud-based solutions for organizations while working from a remote location. Their responsibilities often include assisting with cloud infrastructure setup, troubleshooting issues, monitoring cloud environments, and supporting more senior engineers. This role typically requires knowledge of cloud platforms like AWS, Google Cloud, or Azure, as well as basic networking and scripting skills. Remote Associate Cloud Engineers collaborate with teams virtually to ensure the reliability and security of cloud services.

What are the key skills and qualifications needed to thrive as a remote associate cloud engineer?

To thrive as a Remote Associate Cloud Engineer, you need a solid understanding of cloud computing principles, networking, and scripting languages, often backed by a relevant degree or cloud certification (such as AWS Certified Cloud Practitioner or Google Associate Cloud Engineer). Familiarity with cloud platforms (AWS, Azure, or Google Cloud), infrastructure-as-code tools like Terraform, and monitoring systems is typically required. Problem-solving abilities, strong communication, and self-motivation are vital soft skills, especially when working remotely. These skills enable efficient cloud infrastructure management, effective collaboration, and adaptability in a rapidly evolving digital environment.

How does a remote associate cloud engineer typically collaborate with team members across different time zones?

As a Remote Associate Cloud Engineer, you'll often work with distributed teams that may span several time zones. Collaboration is facilitated through daily stand-ups, regular video meetings, and asynchronous communication tools like Slack or Microsoft Teams. Documentation and clear communication are especially important to ensure project continuity and minimize delays. You'll likely use project management platforms such as Jira to track tasks and updates, and it's common to schedule overlapping work hours when possible for real-time collaboration on critical issues.

What is the difference between Remote Associate Cloud Engineer vs Remote Cloud Support Specialist?

AspectRemote Associate Cloud EngineerRemote Cloud Support Specialist
CertificationsAWS, Azure, GCP certifications often preferredSimilar cloud certifications may be required, but more support-focused
Work EnvironmentCollaborates with development and engineering teams on cloud projectsProvides technical support and troubleshooting for cloud users
Employer & Industry UsageUsed in tech companies, cloud service providers, and enterprisesCommon in IT support firms, cloud service providers, and enterprise support teams

The Remote Associate Cloud Engineer primarily focuses on designing, deploying, and managing cloud infrastructure, working closely with development teams. In contrast, the Remote Cloud Support Specialist handles troubleshooting, user support, and issue resolution related to cloud services. Both roles require cloud certifications and involve remote work, but their core responsibilities differ significantly.

What are the most commonly searched types of Remote Cloud Engineer jobs in Georgia?

The most popular types of Remote Cloud Engineer jobs in Georgia are:

What are popular job titles related to Remote Associate Cloud Engineer jobs in Georgia?

For Remote Associate Cloud Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Remote Associate Cloud Engineer jobs in Georgia look for?

The top searched job categories for Remote Associate Cloud Engineer jobs in Georgia are:

What cities in Georgia are hiring for Remote Associate Cloud Engineer jobs?

Cities in Georgia with the most Remote Associate Cloud Engineer job openings:

Remote Associate Cloud Engineer jobs near you
Infographic showing various Remote Associate Cloud Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Developer & Infrastructure Expert - Remote

YO AI Labs

Atlanta, GA • Remote

$30 - $80/hr

Full-time

Posted 11 days ago

Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.