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Devops Ai Jobs in Georgia (NOW HIRING)

DevOps Engineer IV 4P/763

Atlanta, GA · On-site

$50.75 - $69.50/hr

Position: DevOps Engineer IV Location: Atlanta, GA Duration: 6 Months Client: Southern Company ... This role will help build scalable, secure, and cost-efficient AI and cloud solutions while driving ...

DevOps Engineer IV 4P/763

Atlanta, GA · On-site

$120 - $170/hr

Position: DevOps Engineer IV Location: Atlanta, GA Duration: 6 Months Client: Southern Company ... This role will help build scalable, secure, and cost-efficient AI and cloud solutions while driving ...

AI DevOps Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

Only W2 (USC) Seeking a Senior AI DevOps Engineer with 10+ years of experience to design, deploy, and optimize enterprise AI platforms and cloud infrastructure. The role focuses on cloud architecture ...

DevOps Engineer

Sandy Springs, GA

$52.25 - $71.75/hr

DevOps Engineer Location: Atlanta, GA Employment Type: Full-Time About Us ... Datavault AI, along with its event-technology subsidiary Event Citadel (formerly CompuSystems ...

DevOps Platform Engineer

Duluth, GA · On-site

$48.50 - $66.50/hr

The DevOps Engineer is a prerequisite for the AI program - without reliable infrastructure, no agent or model can be deployed to production. Responsibilities * Provision and manage the agentic AI ...

DevOps Developer

Atlanta, GA · On-site

$120 - $160/hr

Administer database backup and restore operations in Azure SQL, treating data integrity as non ... Evaluate AI-generated infrastructure changes with a critical eye before they ship, and elevate ...

New

DevOps/MLOps Engineer

Cumming, GA · On-site

$47 - $64.50/hr

Our Fintech client is looking for an experienced DevOps / MLOps Engineer to help build and manage cloud infrastructure, deployment pipelines, and operational systems supporting AI-driven platform ...

Administer database backup and restore operations in Azure SQL, treating data integrity as non ... Evaluate AI-generated infrastructure changes with a critical eye before they ship, and escalate ...

DevOps Platform Engineer

Duluth, GA · On-site

$120 - $180/hr

The DevOps Engineer is a prerequisite for the AI program -- without reliable infrastructure, no agent or model can be deployed to production. Responsibilities * Provision and manage the agentic AI ...

Administer database backup and restore operations in Azure SQL, treating data integrity as non ... Evaluate AI-generated infrastructure changes with a critical eye before they ship, and escalate ...

Devops Engineer

Alpharetta, GA · On-site

$51.50 - $70.50/hr

Title: DevOps Engineer Location: Berkeley Heights, NJ / Alpharetta, GA(5days onsite) Employment ... You are an early adopter of GitHub Copilot or AI Agents to help generate Terraform modules, K8s ...

Agentic DevOps Lead

Atlanta, GA · Remote

$63.75 - $84/hr

... DevOps leaders, GTM leaders, and supporting SMEs. The role ensures the practice operates as an ... AI Strategy & Advisory Oversight * Provide executive oversight for enterprise AI strategy ...

DevOps Engineer IV 4P/763

Atlanta, GA · On-site

$50.75 - $69.50/hr

DevOps Engineer IVSouthern Company Services is seeking a DevOps Engineer IV with 10+ years of ... This role will help build scalable, secure, and cost-efficient AI and cloud solutions while driving ...

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Devops Ai information

What is the difference between Devops Ai vs Data Engineer?

AspectDevops AiData Engineer
Required CredentialsCertifications in DevOps tools, AI/ML fundamentals, cloud platformsData management certifications, SQL, Python, cloud certifications
Work EnvironmentCollaborates with development, operations, and AI teams in cloud or on-premise setupsWorks with data pipelines, databases, and analytics teams in data-centric environments
Employer & Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, e-commerce, and data-driven industries

Devops Ai professionals focus on integrating AI solutions into deployment pipelines, combining DevOps practices with AI/ML tools. Data Engineers primarily build and maintain data infrastructure for analytics and machine learning. While both roles require cloud and scripting skills, Devops Ai emphasizes automation and AI deployment, whereas Data Engineers concentrate on data architecture and pipeline development.

Is DevOps a good career with AI?

DevOps professionals working with AI integrate automation, cloud platforms, and machine learning tools to improve software deployment and system reliability. The field offers high demand, competitive salaries, and opportunities to work with emerging technologies, making it a strong career choice for those interested in AI and automation. Skills in scripting, cloud services, and AI frameworks are valuable in this role.

What are popular job titles related to Devops Ai jobs in Georgia?

For Devops Ai jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Devops Ai jobs in Georgia look for?

The top searched job categories for Devops Ai jobs in Georgia are:

Infographic showing various Devops Ai job openings in Georgia as of August 2026, with employment types broken down into 71% Full Time, 19% Part Time, 7% Contract, and 3% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

DevOps Engineer IV 4P/763

4P Consulting Inc.

Atlanta, GA • On-site

$50.75 - $69.50/hr

Contractor

Re-posted 8 days ago


Job description

Position: DevOps Engineer IV

Location: Atlanta, GA
Duration: 6 Months

Client: Southern Company Services

Job Summary

Southern Company Services is seeking a DevOps Engineer IV with 10+ years of experience to design, implement, and support enterprise cloud infrastructure, AI platforms, and DevOps automation. The ideal candidate will have expertise in Google Cloud Platform (GCP) (preferred), Azure, Infrastructure as Code (IaC), cloud security, CI/CD pipelines, AI infrastructure, and FinOps. This role will help build scalable, secure, and cost-efficient AI and cloud solutions while driving automation, governance, and operational excellence.

Key Responsibilities

· Design and implement cloud infrastructure using GCP, Azure, and Infrastructure as Code (Terraform/Bicep).

· Develop and maintain CI/CD pipelines and automate cloud deployments.

· Deploy and manage containerized applications and cloud-native workloads.

· Implement cloud security, IAM, encryption, secrets management, and compliance controls.

· Build scalable AI infrastructure and integrate governance into deployment pipelines.

· Monitor AI models, cloud environments, and application performance.

· Drive FinOps initiatives, including cloud cost optimization and resource management.

· Design enterprise observability solutions for AI platforms and cloud infrastructure.

· Support AI/ML lifecycle management, monitoring, drift detection, and automated response.

· Develop and support agent-based AI systems and modern DevOps practices.

Required Qualifications

· Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.

· 10+ years of DevOps, Cloud Engineering, or Infrastructure Automation experience.

· Strong hands-on experience with GCP (preferred), Azure, or Databricks.

· Experience with Terraform, Bicep, Kubernetes, containers, and CI/CD pipelines.

· Strong scripting and automation skills.

· Experience implementing cloud security and governance best practices.

· Excellent troubleshooting, analytical, and communication skills.

Preferred Skills

Google Cloud Platform (GCP) • Azure • Databricks • Terraform • Bicep • Kubernetes • Docker • CI/CD • Infrastructure as Code (IaC) • DevOps • AI/ML • FinOps • IAM • Cloud Security • PowerShell • Python • LangChain • Agentic AI • Observability • Monitoring