Principal Infrastructure Engineer

Position: Principal Infrastructure Engineer [IaC, AI/ML Infra Engineer] Location: Plano, TX (Day 1 Onsite) Location: Contract to Hire / Full Time Visa: / USC

Experience / Technical Skills:
8+ 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.

Problem-Solving:
Excellent analytical and problem-solving skills with the ability to manage multiple complex projects simultaneously.

Communication:
Strong communication and interpersonal skills to effectively collaborate with diverse stakeholders across the organization.
Additional Knowledge:
Familiarity with ITIL or other IT service management frameworks is a plus.

Preferred:
Experience with AI Factory platforms, federated learning, or edge AI model lifecycle management.
Familiarity with industrial protocols (e.g., OPC UA, Modbus) and manufacturing IT environments.
Certifications in cloud architecture (e.g., AWS Solutions Architect, Azure Expert) or Kubernetes (CKA/CKAD).