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Full time
Technology
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Lead Infrastructure Engineer

NTT DATAIrving, Texas🇺🇸United StatesPosted 28 Aug 2026

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Irving, Texas, United States
DockerGCPShellAWSLoad BalancingTCP/IPAzureBashDNSGrafanaKubernetesPrometheusPythonTerraform

Job Description

NTT DATA seeks a Lead Infrastructure Engineer to design, secure, and optimize cloud and on-premise platforms for global clients. You will architect scalable infrastructure, drive automation with IaC and DevOps, and ensure reliability, performance, and compliance. Partnering with cross-functional teams, you'll lead complex transformations, troubleshoot critical issues, and mentor engineers. Join a collaborative, diverse culture focused on innovation, client success, and continuous learning across large-scale digital transformation initiatives worldwide.

Responsibilities

  • Design, implement, and maintain scalable, secure cloud and on-premise infrastructure for global clients
  • Lead modernization, automation, and optimization of infrastructure using Ia
  • C and Dev
  • Ops tools
  • Ensure high availability, performance, and disaster recovery across environments
  • Implement and enforce security, compliance, and monitoring standards
  • Collaborate with architects, developers, and project managers to support large digital transformation programs
  • Troubleshoot complex infrastructure issues and provide root-cause analysis
  • Mentor junior engineers and set best practices for infrastructure engineering
  • Contribute to capacity planning, cost optimization, and technology roadmaps

Required Skills

  • Cloud infrastructure (AWS/Azure/GCP)
  • Linux/Windows server administration
  • Infrastructure as Code (Terraform/Cloud
  • Formation)
  • CI/CD and Dev
  • Ops tooling
  • Networking (TCP/IP, VPN, DNS, load balancing)
  • Security hardening and compliance
  • Monitoring and observability (Prometheus, Grafana, Cloud
  • Watch, etc.)
  • Scripting (Python, Bash, Power
  • Shell)
  • High availability and disaster recovery design
  • Containerization and orchestration (Docker, Kubernetes)

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