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Cloud Operations Jobs in Georgia (NOW HIRING)

Equifax

Rotational Technology Associate

Alpharetta, GA · On-site

DevSecOps & Cloud Operations: Working in a DevSecOps environment, developing auto-remediation tools, assisting with cloud operations, and troubleshooting network issues. * Network & IT Support: ...

Equifax

Technology Intern

Alpharetta, GA · On-site

$14.50 - $19.25/hr

DevSecOps & Cloud Operations: Working in a DevSecOps environment, developing auto-remediation tools, assisting with cloud operations, and troubleshooting network issues. * Network & IT Support: ...

Equifax

Rotational Technology Associate

Alpharetta, GA · On-site

DevSecOps & Cloud Operations: Working in a DevSecOps environment, developing auto-remediation tools, assisting with cloud operations, and troubleshooting network issues. * Network & IT Support: ...

Jobtailor

Software Engineer Lead

Atlanta, GA · On-site

$180 - $240/hr

Drive good engineering practices across code quality and cloud operations * Guide technical trade‑offs and prioritization * Play a central role in hiring and onboarding * Mentor and coach engineers ...

Koch Industries

Operations Excellence Lead

Atlanta, GA · On-site

... to the cloud. This role reports directly to the Vice President, IT Infrastructure & Site ... Lead cross-functional operations excellence initiatives that improve reliability, reduce complexity ...

Bizoforce Inc

Cloud Architect

Atlanta, GA · On-site

$62.50 - $79.50/hr

Role: Google Cloud Platform (Google Cloud Platform) Architect Location: Atlanta, GA Duration ... Who can work on DevOps, Automation and FinOps activities. * Excellent communication skills (verbal ...

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All JobsCloud Operations JobsCloud Operations Jobs in Georgia

Cloud Operations information

See Georgia salary details

$19K

$105.9K

$158.3K

How much do cloud operations jobs pay per year?

As of Aug 18, 2026, the average yearly pay for cloud operations in Georgia is $105,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $124,500.00 per year, depending on experience, location, and employer.

What is cloud operations?

Cloud Operations, often referred to as CloudOps, involve the management, monitoring, and optimization of cloud-based resources and services. Professionals in this field ensure that cloud infrastructure and applications run smoothly, remain secure, and are cost-effective. This includes tasks such as deployment automation, performance monitoring, incident response, and implementing cloud security best practices. Cloud Operations teams work to maximize uptime, address technical issues quickly, and support organizational goals by leveraging cloud technologies.

What are some typical challenges faced in a cloud operations role, and how can they be managed effectively?

Professionals in Cloud Operations often encounter challenges such as ensuring system uptime, managing costs, and maintaining security across dynamic cloud environments. Responding quickly to incidents, automating routine tasks, and staying up to date with evolving cloud technologies are key strategies for success. Collaboration with development, security, and support teams is essential for troubleshooting and optimizing cloud services. Embracing a proactive monitoring approach and continuous learning helps address these challenges efficiently.

What are the key skills and qualifications needed to thrive as a cloud operations professional, and why are they important?

To excel in Cloud Operations, you need a strong background in IT infrastructure, cloud platforms (such as AWS, Azure, or Google Cloud), and systems administration, often supported by relevant certifications like AWS Certified SysOps Administrator or Microsoft Certified: Azure Administrator. Familiarity with automation tools (like Terraform or Ansible), CI/CD pipelines, and monitoring systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals stand out in this field. These competencies are crucial for ensuring reliable, secure, and efficient cloud environments that support business operations.

What is the difference between Cloud Operations vs Cloud Support Engineer?

AspectCloud OperationsCloud Support Engineer
CertificationsCloud certifications (AWS, Azure, GCP), ITILCloud certifications, technical support certifications
Work EnvironmentOperations teams, cloud infrastructure managementSupport teams, troubleshooting cloud issues
Employer & Industry UsageCloud service providers, enterprise ITCloud service providers, managed service providers
Primary FocusMaintaining, monitoring, and optimizing cloud infrastructureResolving customer issues, providing technical support

Cloud Operations professionals focus on managing and optimizing cloud infrastructure, ensuring system reliability and performance. In contrast, Cloud Support Engineers primarily troubleshoot and resolve technical issues faced by users or clients. Both roles require cloud certifications and work within cloud service environments, but their daily tasks and objectives differ significantly.

Is cloud operations a high paying job?

Cloud operations roles typically offer competitive salaries, especially for professionals with skills in cloud platforms like AWS, Azure, or Google Cloud, and experience with automation and scripting. Salaries vary based on experience, certifications, and location, but generally, cloud operations positions are considered well-paying within the IT industry.

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

The most popular types of Cloud Operations jobs in Georgia are:

Cloud Operations jobs near you
Infographic showing various Cloud Operations job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 11% Part Time, 1% Temporary, 7% Contract, and 3% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $105,915 per year, or $50.9 per hour.

Senior AI DevOps Engineer (AI Ops / Platform Engineering) (Hybrid)

NTT DATA, Inc.

Atlanta, GA • On-site

$125K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

118th of 224 rated it services

Job description

Req ID: 382452
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Senior AI DevOps Engineer (AI Ops / Platform Engineering) (Hybrid) to join our team in Atlanta, Georgia (US-GA), United States (US).
Senior AI DevOps Engineer (AI Ops / Platform Engineering)
Position Summary
We're looking for an experienced Senior AI DevOps Engineer to help build the next generation of AI-powered software delivery and cloud operations. In this role, you'll combine modern DevOps practices with Generative AI, LLM agents, Model Context Protocol (MCP), and intelligent automation to transform how engineering teams build, deploy, and operate software.
You'll partner with Platform Engineering, DevOps, Security, SRE, and AI teams to design secure, scalable, cloud-native solutions that accelerate software delivery while improving reliability, observability, and operational efficiency.
This is an opportunity to work on cutting-edge AI technologies that are redefining modern software engineering.
What You'll Do
  • Design, build, and optimize AI-enabled CI/CD pipelines that improve developer productivity, deployment speed, and software quality.
  • Develop and deploy Model Context Protocol (MCP) clients and servers that securely connect enterprise LLMs with engineering tools, cloud infrastructure, and operational platforms.
  • Build custom MCP services using Python, TypeScript, JavaScript, or Node.js to expose infrastructure, deployment, monitoring, and operational data to authorized AI agents.
  • Integrate LLM-powered workflows for automated code reviews, testing, security analysis, release validation, and infrastructure recommendations.
  • Build and maintain enterprise CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, CircleCI, ArgoCD, or similar platforms.
  • Implement AI-driven ChatOps capabilities that enable engineers to interact with deployment pipelines, cloud environments, and operational tools through secure conversational interfaces.
  • Design intelligent remediation workflows for incident detection, root cause analysis, log analysis, and operational troubleshooting.
  • Develop secure Infrastructure-as-Code automation using Terraform, OpenTofu, Pulumi, Terragrunt, CloudFormation, or similar technologies.
  • Deploy and manage containerized applications using Kubernetes and Docker across AWS, Azure, or Google Cloud.
  • Build AI-powered observability solutions leveraging Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, ELK, or similar platforms.
  • Implement security guardrails including RBAC, least-privilege access, approval workflows, audit logging, rollback mechanisms, and secure AI tool access.
  • Partner with Engineering, Platform, Security, SRE, and AI teams to identify and implement intelligent automation opportunities.
  • Create reusable automation frameworks, documentation, dashboards, and engineering best practices that scale across the organization.

Required Qualifications
  • 7+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering (SRE), Cloud Engineering, or Infrastructure Automation.
  • 4+ years designing and supporting enterprise CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, CircleCI, ArgoCD, or similar tools.
  • 3+ years of cloud engineering experience in AWS, Azure, or Google Cloud (AWS preferred).
  • Strong experience deploying and managing Kubernetes and Docker in production environments (EKS, AKS, or GKE).
  • Hands-on experience with Infrastructure as Code using Terraform, OpenTofu, Pulumi, Terragrunt, CloudFormation, or similar tools.
  • Strong programming skills in Python, TypeScript, JavaScript, Bash, Go, or similar languages.
  • Experience integrating enterprise LLM platforms such as OpenAI, Anthropic, or equivalent AI services into engineering workflows.
  • Experience with AI orchestration frameworks such as LangChain, CrewAI, LlamaIndex, or similar technologies.
  • Experience designing or implementing Model Context Protocol (MCP) clients and servers.
  • Experience implementing DevSecOps practices including SAST, DAST, dependency scanning, container security, secrets management, and vulnerability management.
  • Experience with secrets management solutions such as HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault.
  • Strong experience with monitoring, logging, and observability platforms such as Datadog, Grafana, Prometheus, CloudWatch, Splunk, Dynatrace, or ELK.
  • Excellent troubleshooting skills across cloud infrastructure, CI/CD pipelines, Kubernetes, and production systems.
  • Strong communication skills and the ability to collaborate across engineering, security, and AI teams.

Preferred Qualifications
  • Experience building AI-assisted infrastructure provisioning and deployment workflows.
  • Experience implementing autonomous or AI-assisted incident response and operational remediation.
  • Experience with MLOps platforms including MLflow, Amazon SageMaker, Vertex AI, Azure ML, or similar technologies.
  • Experience implementing human-in-the-loop approval workflows for AI-generated operational actions.
  • Knowledge of Policy-as-Code frameworks such as Open Policy Agent (OPA), Sentinel, or Checkov.
  • Experience with GitOps platforms such as ArgoCD or Flux.
  • Experience working within regulated industries such as financial services, healthcare, insurance, or government.
  • AWS, Kubernetes, DevOps, Security, or AI/ML certifications.

What Makes You Successful
  • Passion for automation and continuously improving engineering productivity.
  • Security-first mindset with practical experience implementing safe, responsible AI automation.
  • Ability to bridge DevOps, Platform Engineering, AI, Security, and Software Engineering disciplines.
  • Strong problem-solving skills with an ownership mentality from design through production support.
  • Comfortable leading technical initiatives and mentoring engineering teams on modern AI-enabled development practices.

Education
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline (or equivalent professional experience).
Work Location
Hybrid schedule with three days per week onsite as required by the client or project.
Pay Transparency
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $87,952-$162,875. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, ;br>
NTT DATA endeavors to make ;/strong> accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at ;/strong>. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here
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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967

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