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GPU/AI Infrastructure Engineer

Pull Skill Technologies

Dallas, Texas • Today

Easy Apply

Contract

Depends on Experience

Senior Engineer AI Workload & Infrastructure Validation

VST Consulting, Inc

Hybrid in Plano, Texas • Today

Easy Apply

Full-time

Depends on Experience

Senior Architect AI Infrastructure & Fabric

VST Consulting, Inc

Hybrid in Plano, Texas • 2d ago

Easy Apply

Full-time

Depends on Experience

Lead Infrastructure Engineer

NTT DATA Americas, Inc

Hybrid in Irving, Texas • 22d ago

Easy Apply

Third Party, Contract

$66.5

Senior Director of Networking and Generative AI Infrastructure

Dell

Dallas, Texas • Today

Full-time

Senior Director of Networking and Generative AI Infrastructure

Dell

Plano, Texas • Today

Full-time

Technology Support III - Application & Infrastructure Support Engineer III (AI-Enabled)

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Senior Linux and GPU Infrastructure Implementation Specialist

Randstad Digital

Remote or Charlotte, North Carolina • Today

Contract

USD80 - USD100

Lead / Principal Agentic AI Engineer (Onsite Technical Lead)

Cyma Systems Inc

Dallas, Texas • 9d ago

Easy Apply

Contract

Depends on Experience

Lead / Principal Agentic AI Engineer - W2

Cyma Systems Inc

Dallas, Texas • 9d ago

Easy Apply

Third Party, Contract

Depends on Experience

Senior Agentic AI Developer / Forward Deployed Engineer

CIS Technologies Inc.

Irving, Texas • Today

Easy Apply

Contract

Depends on Experience

Sr Lead Infrastructure Engineer - Python / AI

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Program Manager with AI GPU Data Center at Remote

Gemini Consulting Services

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

ServiceNow Infrastructure Engineer with CMDB Discovery

1 Point System

Hybrid in Plano, Texas • Yesterday

Easy Apply

Contract

Depends on Experience

AI Infrastructure / Kubernetes Platform Engineer

VDart, Inc.

Remote • 4d ago

Easy Apply

Full-time, Third Party

Depends on Experience

AI Security Engineer - Onsite (Irving TX)

NJTECH INC.

Irving, Texas • Today

Easy Apply

Contract

$0 - $0

Lead Infrastructure Engineer

Citi

Irving, Texas • Today

Full-time

USD 125,760.00 - 188,640.00 per year

Lead Infrastructure Engineer - Linux and VMWare System Admin

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Senior Lead Infrastructure Engineer - Network Engineer

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Machine Learning Platform Engineer, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$140,000 - $180,000

Vice President - Lead Infrastructure Engineer

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Lead Infrastructure Engineer - IBMi

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

USD 147,250.00 - 190,000.00 per year

Senior Lead Software Engineer - Full Stack/Infrastructure

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Senior Director of Networking and Generative AI Infrastructure

Dell Technologies

Remote or Texas • Today

Full-time

USD 249,000.00 - 322,000.00 per year

Senior Digital Solution Engineer - Cloud and AI Platforms

Microsoft Corporation

Dallas, Texas • Today

Full-time

USD 106,400.00 - 203,600.00 per year

Senior Lead Software Engineer-AI Foundation Services

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

USD 175,750.00 - 260,000.00 per year

Senior Lead Software Engineer-AI Foundation Services

JPMorgan Chase & Co.

Plano, Texas • Yesterday

Full-time

Senior Software Engineer, AI Infrastructure

Mirantis Inc

Remote • Today

Full-time

Senior Kubernetes / HPC Infrastructure Engineer

Georgia IT

Remote • 8d ago

Easy Apply

Contract

Depends on Experience

AI Storage Infrastructure Engineer - remote in the US

Mirantis Inc

Remote • Today

Full-time

Job Details

Skills

Generative Artificial Intelligence (AI)
Continuous Delivery
Continuous Integration
FOCUS
GPU
Artificial Intelligence
Business Continuity Planning
Cloud Computing
Computer Networking
Microsoft Azure
Optimization
Performance Tuning
Production Support
Incident Management
Linux
Machine Learning (ML)
Mentorship
ROOT
Good Clinical Practice
Google Cloud Platform
Grafana
IT Management
Kubernetes
Scheduling
Training
Splunk

Summary

Position : GPU/AI Infrastructure Engineer

Location : Dallas, TX (Onsite)

Duration : Long term contract

In This Role, You Will

Lead complex infrastructure initiatives supporting Generative AI and Predictive AI platforms from design to production operations.
Serve as a technical lead for platforms supporting AI/ML model training, inference, and batch workloads.
Design, build, deploy, and operate OpenShift-based container platforms optimized for high-performance GPU workloads.
Build, support and operate scalable GPU SuperPod architecture with large multi-node GPU clusters.
Own monitoring, alerting, and observability using Grafana, Splunk, and enterprise telemetry tools.
Define SLIs/SLOs and build actionable alerts to proactively detect performance, capacity, and resiliency risks.
Build AI- and agent-based automation tools for self-healing, scaling, diagnostics, and incident remediation.
Apply AIOps techniques to reduce alert fatigue and improve platform reliability.
Lead production incident analysis and ensure operational rigor and root-cause prevention.
Mentor engineers and influence stakeholders across a geographically distributed organization.

Required Qualifications

5+ years of infrastructure engineering experience.
5+ years troubleshooting complex end-to-end architectures(including CI/CD pipeline).
5+ years Linux systems experience.
4+ years supporting AI/ML platforms.
4+ years of Kubernetes / container platform experience including production support.

Desired Qualifications

Experience with Generative AI and Predictive AI platforms.
Hands-on GPU platform operations including scheduling, quota, and performance tuning.
Experience with OpenShift in GPU-enabled, multi-tenant environments.
Experience designing or operating GPU Super Pods.
Deep experience with observability using Grafana, Splunk, and custom telemetry pipelines.
Experience building AI- or agent-driven automation tooling (AIOps).
Hands-on experience supporting AI/ML workloads on Google Cloud Platform and Azure, including GPU-backed services and managed AI infrastructure
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
Strong monitoring of AI signals such as inference latency and GPU utilization.
Experience with BCP/DR, resiliency, and highly available architectures.

Job Expectations

Participation in a 24x7 on-call rotation.
Ownership for production stability, platform health, and customer outcomes.
Operate in regulated enterprise environments with strong risk and control focus.

Regards,

Adam Jones (Azam)

Direct: 5 5 1 2 6 4 7 2 4 9

Email: Adam (@) pullskill (dot) com

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90922281
Position Id: 9122831
Posted 6 hours ago

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Adam Jones

Recruiter @ Pull Skill Technologies

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Job Details

Skills

Generative Artificial Intelligence (AI)
Continuous Delivery
Continuous Integration
FOCUS
GPU
Artificial Intelligence
Business Continuity Planning
Cloud Computing
Computer Networking
Microsoft Azure
Optimization
Performance Tuning
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Summary

Position : GPU/AI Infrastructure Engineer

Location : Dallas, TX (Onsite)

Duration : Long term contract

In This Role, You Will

Lead complex infrastructure initiatives supporting Generative AI and Predictive AI platforms from design to production operations.
Serve as a technical lead for platforms supporting AI/ML model training, inference, and batch workloads.
Design, build, deploy, and operate OpenShift-based container platforms optimized for high-performance GPU workloads.
Build, support and operate scalable GPU SuperPod architecture with large multi-node GPU clusters.
Own monitoring, alerting, and observability using Grafana, Splunk, and enterprise telemetry tools.
Define SLIs/SLOs and build actionable alerts to proactively detect performance, capacity, and resiliency risks.
Build AI- and agent-based automation tools for self-healing, scaling, diagnostics, and incident remediation.
Apply AIOps techniques to reduce alert fatigue and improve platform reliability.
Lead production incident analysis and ensure operational rigor and root-cause prevention.
Mentor engineers and influence stakeholders across a geographically distributed organization.

Required Qualifications

5+ years of infrastructure engineering experience.
5+ years troubleshooting complex end-to-end architectures(including CI/CD pipeline).
5+ years Linux systems experience.
4+ years supporting AI/ML platforms.
4+ years of Kubernetes / container platform experience including production support.

Desired Qualifications

Experience with Generative AI and Predictive AI platforms.
Hands-on GPU platform operations including scheduling, quota, and performance tuning.
Experience with OpenShift in GPU-enabled, multi-tenant environments.
Experience designing or operating GPU Super Pods.
Deep experience with observability using Grafana, Splunk, and custom telemetry pipelines.
Experience building AI- or agent-driven automation tooling (AIOps).
Hands-on experience supporting AI/ML workloads on Google Cloud Platform and Azure, including GPU-backed services and managed AI infrastructure
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
Strong monitoring of AI signals such as inference latency and GPU utilization.
Experience with BCP/DR, resiliency, and highly available architectures.

Job Expectations

Participation in a 24x7 on-call rotation.
Ownership for production stability, platform health, and customer outcomes.
Operate in regulated enterprise environments with strong risk and control focus.

Regards,

Adam Jones (Azam)

Direct: 5 5 1 2 6 4 7 2 4 9

Email: Adam (@) pullskill (dot) com