
Infrastructure Engineer
Charlotte, NCJob$60–65/hrSeen todaySeen in employer's feed today
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Job overview
NTT DATA seeks an Infrastructure Engineer in Charlotte to lead infrastructure initiatives for Generative AI and Predictive AI platforms, from design through production operations. The role leads AI/ML platform engineering, GPU cluster operations, observability, and automation, while supporting production reliability and incident prevention. It also includes mentoring engineers, stakeholder influence, and participation in a 24x7 on-call rotation in regulated enterprise environments.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
We are currently seeking a Infrastructure Engineer to join our team in Charlotte, North Carolina (US-NC), United States (US).
Job Description:
In This Role, You Will
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Lead complex infrastructure initiatives supporting Generative AI and Predictive AI platforms from design to production operations.
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Serve as a technical lead for platforms supporting AI/ML model training, inference, and batch workloads.
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Design, build, deploy, and operate OpenShift-based container platforms optimized for high-performance GPU workloads.
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Build, support and operate scalable GPU SuperPod architecture with large multi-node GPU clusters.
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Own monitoring, alerting, and observability using Grafana, Splunk, and enterprise telemetry tools.
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Define SLIs/SLOs and build actionable alerts to proactively detect performance, capacity, and resiliency risks.
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Build AI- and agent-based automation tools for self-healing, scaling, diagnostics, and incident remediation.
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Apply AIOps techniques to reduce alert fatigue and improve platform reliability.
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Lead production incident analysis and ensure operational rigor and root-cause prevention.
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Mentor engineers and influence stakeholders across a geographically distributed organization.
Required Qualifications
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5+ years of infrastructure engineering experience.
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5+ years troubleshooting complex end-to-end architectures(including CI/CD pipeline).
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5+ years Linux systems experience.
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4+ years supporting AI/ML platforms.
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4+ years of Kubernetes / container platform experience including production support.
Desired Qualifications
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Experience with Generative AI and Predictive AI platforms.
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Hands-on GPU platform operations including scheduling, quota, and performance tuning.
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Experience with OpenShift in GPU-enabled, multi-tenant environments.
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Experience designing or operating GPU Super Pods.
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Deep experience with observability using Grafana, Splunk, and custom telemetry pipelines.
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Experience building AI- or agent-driven automation tooling (AIOps).
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Hands-on experience supporting AI/ML workloads on GCP and Azure, including GPU-backed services and managed AI infrastructure
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Experience operating hybrid or multi-cloud AI platforms, with an understanding of cloud-native services, networking, identity, and cost optimization for Generative and Predictive AI
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Strong monitoring of AI signals such as inference latency and GPU utilization.
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Experience with BCP/DR, resiliency, and highly available architectures.
Job Expectations
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Participation in a 24x7 on-call rotation.
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Ownership for production stability, platform health, and customer outcomes.
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Operate in regulated enterprise environments with strong risk and control focus.
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 $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is 60$/hr -65$/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 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.
How this job compares
Set against the 4,502 open Infrastructure Engineer jobs on Olive Jobs, counted October 31, 2026.
- Pay
- This posting$60–65/hr
- US median$50–63/hr97 hourly ranges
This range's midpoint, $62.50/hr, is 10% above the US median midpoint ($57/hr) — in the middle half of Infrastructure Engineer hourly ranges across the US.
- Openings
- Olive Jobs lists 130 open Infrastructure Engineer jobs in North Carolina and 4,502 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; Infrastructure Engineer postings that state a minimum ask for 6 years at the median (3,512 postings).
- Education
- 956 of the 4,502 open Infrastructure Engineer jobs (21%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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