Position : Principal Infrastructure Engineer [IaC, AI / ML Infra Engineer]
Location : Plano, TX (Day 1 Onsite)
Location : 6-12+ months Contract to Hire
Visa : GC / 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.