Senior AI Ops / DevOps Engineer (FTE / Hybrid) at NTT DATA Services

Job description

Req ID: 390771 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 Ops / DevOps Engineer (FTE / Hybrid) to join our team in Atlanta , Georgia (US-GA) , United States (US) . Day to Day Job Duties 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. • 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. #LI-NorthAmerica NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $97,725.00 - $162,580.00. Actual compensation will depend on a number of factors, including the candidate’s 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 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 a 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, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, us.nttdata.com . NTT DATA endeavors to make 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 us.nttdata.com . 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 .

Requirements

Must-haves

Req ID: 390771
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 Ops / DevOps Engineer (FTE / Hybrid) to join our team in Atlanta , Georgia (US-GA) , United States (US) .
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.
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.

Nice-to-haves

Preferred / Nice to Have
AWS, Kubernetes, DevOps, Security, or AI/ML certifications are a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdgollmpythontypescriptnode.jsjavascriptdockerkubernetesawsazuregcpmlaccessibility

Platform: successfactors
Effort: medium

Benefits

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Dental

Vision

401k

Paid Time Off