Cloud Infrastructure Engineer - Rapport IT - Hybrid in Plano, TX, US | Dice.com

Rapport IT

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Cloud Infrastructure Engineer

Hybrid in Plano, TX, US • Posted 1 day ago • Updated 8 hours ago

Contract W2

No Travel Required

Hybrid

$80 - $90/hr

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Job Details

Skills

Amazon Web Services
DevSecOps
Kubernetes
AWS Infrastructure

Summary

What you ll be doing

Define features and technical specifications for self-service infrastructure platforms tailored to edge environments in manufacturing and distribution centers.
Architect scalable, secure, and resilient edge platform that supports AI Factory workloads and GPU - accelerated processing.
Integrate AI/ML inference pipelines at the edge, leveraging GPU resources for real time decision making and predictive analytics.
Design and implement IIoT Edge and Kubernetes platforms, to run cloud-native applications at manufacturing plants.
Develop Hybrid Cloud blueprints for seamless integration with Public Cloud services, ensuring consistent deployment and observability.
Lead cloud migration efforts, pilot emerging platform features, and collaborate with cross-functional teams.
Coach engineers on clean coding practices (TDD), conduct code and architecture reviews, and drive technical consensus.
Drive innovation in enterprise storage architecture, evolving beyond traditional management to enable scalable, high-performance, and cost-efficient solutions.
Lead initiatives to integrate edge-aware storage strategies, GPU-optimized data pipelines, and AI Factory requirements.
Architect next-generation backup and recovery frameworks with automation, intelligent tiering, and real-time replication across hybrid environments.

What you bring

Education:

Bachelor s degree in a relevant field such as Computer Science, Information Technology, Electrical Engineering, or a related discipline is typically required.
Advanced degrees (Master s or higher) in these fields or specialized areas like Cloud Computing, Data Science, or AI/ML can be advantageous but are not explicitly required.
Professional certifications are preferred, including:
Cloud architecture certifications (e.g., AWS Solutions Architect, Microsoft Azure Expert)
Kubernetes certifications (e.g., Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD))

Experience / Technical Skills:

7+ years of experience in infrastructure engineering, with at least 3 years focused on edge computing, hybrid cloud, or AI/ML workloads.
Deep understanding of edge computing architectures, IoT protocols, and resource-constrained environments.
Hands-on experience with Kubernetes, container orchestration, and cloud-native application design.
Proficiency in GPU-accelerated workloads (e.g., CUDA, TensorRT) and AI/ML inference deployment at the edge.
Strong knowledge of hybrid cloud platforms and integration patterns.
Experience with enterprise storage modernization, including object storage, NVMe, and backup/recovery automation.
Proven track record in clean coding practices, including TDD, CI/CD pipelines, and DevSecOps principles.
Ability to lead architecture reviews, mentor engineers, and drive technical consensus across teams.
Strong cross-functional collaboration skills, especially with AI/ML, DevOps, and manufacturing teams.
Excellent communication and documentation skills, with the ability to evangelize technical strategies and best practices.

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: 90960197
Position Id: 8829163
Posted 1 day ago

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