Principal Data Center Infra & AI Platform Engineer

Designworks Talent; Bellevue (WA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Designworks Talent is seeking a Data Center Infrastructure Software Engineer to join our AI infrastructure group in Bellevue, WA. This hybrid role focuses on designing, deploying, and automating data center software that powers large-scale AI workloads, from server provisioning to GPU clusters and production inference.

Collaborate on infrastructure-as-code, Kubernetes deployments, and performance optimization in a lean, AI-native environment with cross-functional teams.

Qualifications

• 5+ years designing, building, or operating large-scale Linux-based infrastructure.
• Hands-on experience with Kubernetes, containerization, and distributed systems in production environments.
• Experience with infrastructure-as-code and automation tools such as Terraform, Ansible.

Responsibilities

• Develop infrastructure-as-code, automation, and provisioning systems for compute, networking, and storage.
• Deploy and optimize Kubernetes, container, and distributed computing platforms.
• Optimize GPU, networking, storage, and system performance for large-scale AI workloads.
• Troubleshoot complex issues across hardware, operating systems, networking, storage, and software stacks.
• Build reliability, observability, and operational excellence practices for mission-critical infrastructure.

Skills

Kubernetes

Linux

Distributed systems

Automation

Containerization

Terraform

Ansible

Tools

Terraform

Ansible

Job description

Designworks Talent is seeking a Data Center Infrastructure Software Engineer to join our AI infrastructure group in Bellevue, WA. This hybrid role focuses on designing, deploying, and automating data center software that powers large-scale AI workloads, from server provisioning to GPU clusters and production inference.

Collaborate on infrastructure-as-code, Kubernetes deployments, and performance optimization in a lean, AI-native environment with cross-functional teams.