NTT DATA
Abernathy, Texas
Job Description Job Description NTT Data's client is currently seeking a Data Center Technician to join their team in Amarillo, Texas. Job Description: Lead MAC operations and ensure compliance with cabling and racking standards. Run copper and fiber cabling, including labeling and documenting connections. Independently perform racking, stacking, and structured cabling for new deployments. Troubleshoot network connectivity and hardware issues, including fiber diagnostics. Coordinate with vendors and internal teams to support infrastructure upgrades. Key Responsibilities: Ensures that the assigned infrastructure at the client site is configured, installed, tested and operational. Ensures that any software that is part of the solution is installed and configured according to client requirements. Proactively identifies problems and errors as they occur and logs such incidents in a timely manner with the required level of detail. Liaises with all stakeholders including client IT environments, carriers and colleagues to expediate diagnosis of errors and problems and to identify a resolution. Investigates second line support calls assigned and identifies the root cause of incidents and problems following knowledge articles. Responds to and diagnoses all alerts, escalate to L3 Field Engineer when unable to resolve within the stipulated time. Ensures incidents are updated with progress and resolution details in a timely manner using the required platform. Ensures the efficient and comprehensive resolution of incidents and requests. Applies tools, techniques and processes to track, log, report on and correct configuration items, components and changes. Investigates problems in systems, processes and services and assists with the implementation of agreed remedies and preventative measures. Provides second line remote and onsite technical support to clients. Provides second line field engineering services to clients. Reports and escalates issues to 3rd party vendors if necessary. Follows the required handover procedures for shift changes to ensure service continuity. Knowledge and Attributes: Good communication skills, both verbal and written. Ability to plan activities and projects well in advance and take into account possible changing circumstances. Ability to maintain a positive outlook at work. Ability to work well in a pressurized environment. Ability to work hard and put in longer hours when it is necessary. Ability to apply active listening techniques such as paraphrasing the message to confirm understanding, probing for further relevant information and refraining from interrupting. Ability to adapt to changing circumstances. Ability to place client at the forefront of all interactions, understanding their requirements and creating a positive client experience throughout the total client journey. Academic Qualifications and Certifications: Bachelor's degree or equivalent in Information Technology or Computing or related field. Professional level certification in different Data Centre technologies such as Cisco, NetApp, EMC- Ex: CCNP (DC), ONTApp etc. Required experience: 3+ years of experience in building, deploying and supporting data center networking infrastructure. Intermediate knowledge of data center network equipment like Nexus and MDS series switching and integration into server and storage technologies. About NTT DATA: NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is hourly range $30.00hr to $35.00/hr. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits 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 NTT DATA endeavors to make 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 . 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 .
Job Description Job Description NTT Data's client is currently seeking a Data Center Technician to join their team in Amarillo, Texas. Job Description: Lead MAC operations and ensure compliance with cabling and racking standards. Run copper and fiber cabling, including labeling and documenting connections. Independently perform racking, stacking, and structured cabling for new deployments. Troubleshoot network connectivity and hardware issues, including fiber diagnostics. Coordinate with vendors and internal teams to support infrastructure upgrades. Key Responsibilities: Ensures that the assigned infrastructure at the client site is configured, installed, tested and operational. Ensures that any software that is part of the solution is installed and configured according to client requirements. Proactively identifies problems and errors as they occur and logs such incidents in a timely manner with the required level of detail. Liaises with all stakeholders including client IT environments, carriers and colleagues to expediate diagnosis of errors and problems and to identify a resolution. Investigates second line support calls assigned and identifies the root cause of incidents and problems following knowledge articles. Responds to and diagnoses all alerts, escalate to L3 Field Engineer when unable to resolve within the stipulated time. Ensures incidents are updated with progress and resolution details in a timely manner using the required platform. Ensures the efficient and comprehensive resolution of incidents and requests. Applies tools, techniques and processes to track, log, report on and correct configuration items, components and changes. Investigates problems in systems, processes and services and assists with the implementation of agreed remedies and preventative measures. Provides second line remote and onsite technical support to clients. Provides second line field engineering services to clients. Reports and escalates issues to 3rd party vendors if necessary. Follows the required handover procedures for shift changes to ensure service continuity. Knowledge and Attributes: Good communication skills, both verbal and written. Ability to plan activities and projects well in advance and take into account possible changing circumstances. Ability to maintain a positive outlook at work. Ability to work well in a pressurized environment. Ability to work hard and put in longer hours when it is necessary. Ability to apply active listening techniques such as paraphrasing the message to confirm understanding, probing for further relevant information and refraining from interrupting. Ability to adapt to changing circumstances. Ability to place client at the forefront of all interactions, understanding their requirements and creating a positive client experience throughout the total client journey. Academic Qualifications and Certifications: Bachelor's degree or equivalent in Information Technology or Computing or related field. Professional level certification in different Data Centre technologies such as Cisco, NetApp, EMC- Ex: CCNP (DC), ONTApp etc. Required experience: 3+ years of experience in building, deploying and supporting data center networking infrastructure. Intermediate knowledge of data center network equipment like Nexus and MDS series switching and integration into server and storage technologies. About NTT DATA: NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is hourly range $30.00hr to $35.00/hr. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits 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 NTT DATA endeavors to make 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 . 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 .
NTT DATA
Atlanta, Georgia
Job Description Job Description Company Overview: Req ID: 395493 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. Job Description - Senior AI Ops / DevOps Engineer 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. 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 Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($55.00-$70.00/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. NTT DATA endeavors to make 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. 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.
Job Description Job Description Company Overview: Req ID: 395493 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. Job Description - Senior AI Ops / DevOps Engineer 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. 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 Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($55.00-$70.00/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. NTT DATA endeavors to make 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. 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.