Operations Intern Visa Sponsorship Jobs in Georgia
Operations intern roles in Georgia are concentrated in Atlanta, where major employers like Delta Air Lines, Home Depot, and UPS have significant operations. International students at Georgia Tech and Emory University often pursue these positions through OPT. The state's logistics, retail, and supply chain sectors drive consistent demand for operations interns.
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Get Access To All JobsINTRODUCTION
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.
NTT DATA's Client is seeking a Senior AI Ops / DevOps Engineer to join their team in Atlanta, Georgia (US-GA), United States (US).
The Senior AI Ops / DevOps Engineer will architect, build, and manage next-generation AI-driven CI/CD and cloud operations ecosystems. This role will go beyond traditional DevOps automation by integrating LLM agents, Model Context Protocol servers, intelligent observability, and secure AI-assisted workflows into the software delivery lifecycle.
- Architect, build, and manage AI-enabled CI/CD pipelines that improve developer productivity, code quality, release reliability, and deployment speed.
- Design and deploy production-grade Model Context Protocol clients and servers to securely connect enterprise LLMs with engineering tools, repositories, cloud infrastructure, and observability platforms.
- Develop custom MCP servers using Python, TypeScript, Node.js, or JavaScript to expose logs, infrastructure metrics, deployment data, and internal tools to authorized AI agents.
- Integrate LLM agents into developer workflows to support automated code review, vulnerability detection, test generation, release validation, and infrastructure recommendations.
- Build and maintain robust CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, ArgoCD, Jenkins, or similar tools.
- Implement ChatOps 2.0 capabilities that allow engineers to interact with deployment pipelines, cloud environments, logs, and operational workflows using secure conversational interfaces.
- Create safe autonomous remediation workflows for log analysis, incident triage, root-cause analysis, and infrastructure issue resolution.
- Build guardrails that allow AI agents to generate, inspect, and safely execute Infrastructure as Code using Terraform, OpenTofu, Terragrunt, Pulumi, Crossplane, or similar tools.
- Manage containerized workloads using Docker and Kubernetes platforms such as AWS EKS, Azure AKS, or Google GKE.
- Integrate AI-driven observability workflows with platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK.
- Implement AI safety controls including role-based access control, least-privilege execution, human-in-the-loop approvals, audit logging, rollback mechanisms, and secure tool access.
- Partner with software engineering, DevOps, SRE, security, platform, and data/AI teams to identify opportunities for intelligent automation.
- Create reusable automation frameworks, runbooks, dashboards, documentation, and enablement materials for engineering teams.
- Drive an "automate everything” culture by reducing manual toil and improving operational efficiency across cloud and software delivery processes.
BASIC QUALIFICATIONS
- Minimum 7+ years of experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or Infrastructure Automation.
- Minimum 4+ years of hands-on experience designing and managing CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD, or similar platforms.
- Minimum 3+ years of experience managing scalable cloud environments in AWS, Azure, or GCP, with strong preference for AWS.
- Minimum 3+ years of Strong hands-on experience with Kubernetes, Docker, and production container orchestration platforms such as EKS, AKS, or GKE.
- Advanced proficiency with Infrastructure as Code tools such as Terraform, OpenTofu, Terragrunt, Pulumi, CloudFormation, or Crossplane.
- Minimum 3+ years of Strong programming and scripting experience using Python, TypeScript, JavaScript, Bash, or Go.
- Minimum 3+ years of Practical experience working with LLM APIs such as OpenAI, Anthropic, or similar enterprise AI platforms.
- Minimum 3+ years of Experience with AI orchestration or agentic frameworks such as LangChain, CrewAI, LlamaIndex, or similar tools.
- Minimum 3+ years of Strong understanding of the Model Context Protocol ecosystem and experience designing or integrating MCP clients and servers.
- Minimum 3+ years of Experience integrating DevSecOps controls into CI/CD pipelines, including SAST, DAST, dependency scanning, container scanning, secrets scanning, and vulnerability management.
- Minimum 3+ years of Strong knowledge of secret management and security tooling such as HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or similar platforms.
- Minimum 3+ years of Experience with observability, monitoring, logging, and alerting platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK.
- Familiarity with security and compliance frameworks such as SOC2, ISO27001, or enterprise audit control environments.
- Ability to troubleshoot complex pipeline, infrastructure, deployment, and production issues across cloud-native environments.
PREFERRED / NICE TO HAVE
- Experience building AI-assisted infrastructure provisioning workflows.
- Experience implementing autonomous or semi-autonomous incident response and remediation capabilities.
- Experience with MLOps, model deployment pipelines, model monitoring, MLflow, SageMaker, or equivalent platforms.
- Experience implementing human-in-the-loop approval models for AI-generated operational actions.
- Experience with policy-as-code tools such as Open Policy Agent, Sentinel, Checkov, or similar solutions.
- Experience working in regulated industries such as banking, financial services, healthcare, or insurance.
- Experience with GitOps operating models using ArgoCD, Flux, or similar tools.
- AWS, Kubernetes, DevOps, Security, or AI/ML certifications are a plus.
Soft Skills & Mindset
- Strong "automate everything” mindset with a passion for reducing repetitive manual tasks and operational toil.
- Security-first approach with practical skepticism of autonomous AI actions and a focus on validation, boundaries, approvals, and rollback.
- Ability to bridge traditional software engineering, DevOps, SRE, security, and data/AI teams.
- Strong communication skills with the ability to explain complex AI-enabled DevOps concepts to both technical and leadership audiences.
- Collaborative educator who can help upskill engineering teams on AI-assisted delivery, secure automation, and modern DevOps practices.
- Ownership mindset with the ability to design solutions, implement them hands-on, and support them in production.
TRAVEL
This position requires 3 days in office per the client/project requirement.
DEGREE
Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent work experience.
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($60-$70/hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, 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 trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future.
NTT DATA endeavors to make https://us.nttdata.com 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 https://us.nttdata.com/en/contact-us. 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.
INTRODUCTION
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.
NTT DATA's Client is seeking a Senior AI Ops / DevOps Engineer to join their team in Atlanta, Georgia (US-GA), United States (US).
The Senior AI Ops / DevOps Engineer will architect, build, and manage next-generation AI-driven CI/CD and cloud operations ecosystems. This role will go beyond traditional DevOps automation by integrating LLM agents, Model Context Protocol servers, intelligent observability, and secure AI-assisted workflows into the software delivery lifecycle.
- Architect, build, and manage AI-enabled CI/CD pipelines that improve developer productivity, code quality, release reliability, and deployment speed.
- Design and deploy production-grade Model Context Protocol clients and servers to securely connect enterprise LLMs with engineering tools, repositories, cloud infrastructure, and observability platforms.
- Develop custom MCP servers using Python, TypeScript, Node.js, or JavaScript to expose logs, infrastructure metrics, deployment data, and internal tools to authorized AI agents.
- Integrate LLM agents into developer workflows to support automated code review, vulnerability detection, test generation, release validation, and infrastructure recommendations.
- Build and maintain robust CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, ArgoCD, Jenkins, or similar tools.
- Implement ChatOps 2.0 capabilities that allow engineers to interact with deployment pipelines, cloud environments, logs, and operational workflows using secure conversational interfaces.
- Create safe autonomous remediation workflows for log analysis, incident triage, root-cause analysis, and infrastructure issue resolution.
- Build guardrails that allow AI agents to generate, inspect, and safely execute Infrastructure as Code using Terraform, OpenTofu, Terragrunt, Pulumi, Crossplane, or similar tools.
- Manage containerized workloads using Docker and Kubernetes platforms such as AWS EKS, Azure AKS, or Google GKE.
- Integrate AI-driven observability workflows with platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK.
- Implement AI safety controls including role-based access control, least-privilege execution, human-in-the-loop approvals, audit logging, rollback mechanisms, and secure tool access.
- Partner with software engineering, DevOps, SRE, security, platform, and data/AI teams to identify opportunities for intelligent automation.
- Create reusable automation frameworks, runbooks, dashboards, documentation, and enablement materials for engineering teams.
- Drive an "automate everything” culture by reducing manual toil and improving operational efficiency across cloud and software delivery processes.
BASIC QUALIFICATIONS
- Minimum 7+ years of experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or Infrastructure Automation.
- Minimum 4+ years of hands-on experience designing and managing CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD, or similar platforms.
- Minimum 3+ years of experience managing scalable cloud environments in AWS, Azure, or GCP, with strong preference for AWS.
- Minimum 3+ years of Strong hands-on experience with Kubernetes, Docker, and production container orchestration platforms such as EKS, AKS, or GKE.
- Advanced proficiency with Infrastructure as Code tools such as Terraform, OpenTofu, Terragrunt, Pulumi, CloudFormation, or Crossplane.
- Minimum 3+ years of Strong programming and scripting experience using Python, TypeScript, JavaScript, Bash, or Go.
- Minimum 3+ years of Practical experience working with LLM APIs such as OpenAI, Anthropic, or similar enterprise AI platforms.
- Minimum 3+ years of Experience with AI orchestration or agentic frameworks such as LangChain, CrewAI, LlamaIndex, or similar tools.
- Minimum 3+ years of Strong understanding of the Model Context Protocol ecosystem and experience designing or integrating MCP clients and servers.
- Minimum 3+ years of Experience integrating DevSecOps controls into CI/CD pipelines, including SAST, DAST, dependency scanning, container scanning, secrets scanning, and vulnerability management.
- Minimum 3+ years of Strong knowledge of secret management and security tooling such as HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or similar platforms.
- Minimum 3+ years of Experience with observability, monitoring, logging, and alerting platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK.
- Familiarity with security and compliance frameworks such as SOC2, ISO27001, or enterprise audit control environments.
- Ability to troubleshoot complex pipeline, infrastructure, deployment, and production issues across cloud-native environments.
PREFERRED / NICE TO HAVE
- Experience building AI-assisted infrastructure provisioning workflows.
- Experience implementing autonomous or semi-autonomous incident response and remediation capabilities.
- Experience with MLOps, model deployment pipelines, model monitoring, MLflow, SageMaker, or equivalent platforms.
- Experience implementing human-in-the-loop approval models for AI-generated operational actions.
- Experience with policy-as-code tools such as Open Policy Agent, Sentinel, Checkov, or similar solutions.
- Experience working in regulated industries such as banking, financial services, healthcare, or insurance.
- Experience with GitOps operating models using ArgoCD, Flux, or similar tools.
- AWS, Kubernetes, DevOps, Security, or AI/ML certifications are a plus.
Soft Skills & Mindset
- Strong "automate everything” mindset with a passion for reducing repetitive manual tasks and operational toil.
- Security-first approach with practical skepticism of autonomous AI actions and a focus on validation, boundaries, approvals, and rollback.
- Ability to bridge traditional software engineering, DevOps, SRE, security, and data/AI teams.
- Strong communication skills with the ability to explain complex AI-enabled DevOps concepts to both technical and leadership audiences.
- Collaborative educator who can help upskill engineering teams on AI-assisted delivery, secure automation, and modern DevOps practices.
- Ownership mindset with the ability to design solutions, implement them hands-on, and support them in production.
TRAVEL
This position requires 3 days in office per the client/project requirement.
DEGREE
Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent work experience.
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($60-$70/hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, 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 trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future.
NTT DATA endeavors to make https://us.nttdata.com 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 https://us.nttdata.com/en/contact-us. 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.
Operations Intern Job Roles in Georgia
See all 184+ Operations Intern Jobs in Georgia
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Search Operations Intern Jobs in GeorgiaOperations Intern Jobs in Georgia: Frequently Asked Questions
Which companies in Georgia sponsor visas for operations interns?
Large Atlanta-based employers with established internship programs are the most common sponsors for operations intern roles. Companies like Delta Air Lines, UPS, Home Depot, NCR Voyix, and Coca-Cola have hired international interns in operations functions. These organizations typically have HR infrastructure to support OPT and CPT work authorization, making them more accessible for international students than smaller Georgia employers.
Which visa types are most common for operations intern roles in Georgia?
Most international students working as operations interns in Georgia use Curricular Practical Training (CPT) during their degree or Optional Practical Training (OPT) after graduation. Both allow F-1 students to work in a role related to their field of study. For post-internship conversion to full-time employment, H-1B visa sponsorship is the most common pathway, though it requires employer petitioning and lottery selection.
Which cities in Georgia have the most operations intern sponsorship jobs?
Atlanta is by far the primary market for operations intern roles with visa sponsorship in Georgia. The city's status as a logistics hub, home to Hartsfield-Jackson Atlanta International Airport and regional headquarters of Fortune 500 companies, drives consistent demand. Smaller markets like Savannah, which has a major port and growing logistics sector, and Augusta occasionally have opportunities, but Atlanta accounts for the large majority.
How to find operations intern visa sponsorship jobs in Georgia?
Migrate Mate is a job board specifically built for international candidates seeking visa sponsorship, and it filters operations intern roles by location including Georgia. Rather than sorting through postings where sponsorship status is unclear, Migrate Mate surfaces positions from employers with a demonstrated history of sponsoring international workers. Filtering by Georgia and operations intern on Migrate Mate narrows results to the Atlanta metro area and other relevant markets.
Are there state-specific factors that affect operations intern hiring for international students in Georgia?
Georgia's university ecosystem, particularly Georgia Tech's industrial and systems engineering programs, creates a strong pipeline for operations intern candidates. Employers in Atlanta are accustomed to hiring international students through CPT and OPT. Georgia's concentration in logistics, supply chain, and retail operations means operations intern roles often align well with STEM-designated degree programs, which is relevant for OPT STEM extension eligibility after graduation.
What is the prevailing wage for sponsored operations intern jobs in Georgia?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.