Senior AI Ops / DevOps Engineer

NTT DATA North America; Atlanta (GA); On-site; USD 90,000 - 98,000; Full time

Job summary

NTT DATA North America in Atlanta, GA seeks a Senior AI Ops / DevOps Engineer to architect and manage AI-enabled CI/CD pipelines and MCP client/server deployments. You will enable secure LLM-driven automation across logs, metrics, and infrastructure, partnering with software engineering, DevOps, SRE, and security teams.

The role emphasizes hands-on development in Python/TypeScript/JavaScript, Terraform/OpenTofu, and Kubernetes, with a focus on reliability, observability, and governance in cloud

Qualifications

• 7+ years in DevOps, cloud engineering, SRE, or platform engineering.
• 4+ years designing and managing CI/CD pipelines with major tools.
• 3+ years managing scalable AWS/Azure/GCP environments, AWS preferred.
• Hands-on Kubernetes, Docker, and container orchestration (EKS/AKS/GKE).
• Infrastructure as Code with Terraform/OpenTofu/Terragrunt/Pulumi/Crossplane.
• Programming/scripting in Python, TypeScript/JavaScript, Bash or Go.
• Experience with LLM APIs (OpenAI/Anthropic) and AI tooling.
• Experience with LangChain and MCP/Gateway-like integrations.
• Security and compliance focus; SAST/DAST, secret management, and audit readiness.

Responsibilities

• Architect, build, and manage AI-enabled CI/CD pipelines to boost productivity and release speed.
• Design and deploy MCP clients/servers to connect enterprise LLMs with tools and cloud infra.
• Develop MCP servers in Python/TypeScript/Node.js to expose logs and metrics.
• Integrate LLM agents into developer workflows for automated code review and testing.
• Implement CI/CD with GitHub Actions, GitLab CI, CircleCI, ArgoCD, Jenkins.
• Create safe autonomous remediation workflows for incidents and IaC execution.

Skills

CI/CD pipelines

Kubernetes

Docker

GitHub Actions

GitLab CI

CircleCI

ArgoCD

Jenkins

Terraform

OpenTofu

Pulumi

Python

TypeScript/JavaScript

LLM APIs

LangChain

Security controls

Observability tooling

Education

Bachelor's degree in Computer Science or equivalent

Tools

AWS

Azure

GCP

Datadog

Prometheus

Grafana

CloudWatch

ELK

Job description

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.

We are currently seeking a Systems Integration Advisor to join our team in Atlanta, Georgia (US-GA), United States (US).

Job Description

Senior AI Ops / DevOps Engineer

Day to Day Job Duties

• 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.


• 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.


• Strong programming and scripting experience using Python, TypeScript, JavaScript, Bash, or Go.


• Practical experience working with LLM APIs such as OpenAI, Anthropic, or similar enterprise AI platforms.


• Experience with AI orchestration or agentic frameworks such as LangChain, CrewAI, LlamaIndex, or similar tools.


• Strong understanding of the Model Context Protocol ecosystem and experience designing or integrating MCP clients and servers.


• Experience integrating DevSecOps controls into CI/CD pipelines, including SAST, DAST, dependency scanning, container scanning, secrets scanning, and vulnerability management.


• Strong knowledge of secret management and security tooling such as HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or similar platforms.


• 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.

Summary

The ideal candidate is a senior hands‑on DevOps engineer with strong cloud, automation, Kubernetes, and CI/CD expertise, combined with practical experience applying AI, LLM agents, and MCP-based integrations to modern engineering workflows. This role will help create a secure AI‑driven delivery ecosystem that accelerates software engineering velocity while maintaining strong governance, reliability, auditability, and operational control.

Compensation

The starting hourly range for this remote role is $65-$71/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.

Benefits

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. Visit us at us.nttdata.com

Equal Opportunity and EEO Statement

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 EOO rights under the law, please click here. For Pay Transparency information, please click here.