Principal Data Center Infrastructure Software Engineer
Build and automate AI infrastructure clusters, deploying Kubernetes and optimizing GPU/storage/networking for large-scale AI workloads.
- Compensation
- Not disclosed
- Location
- Bellevue
- Work setup
- Hybrid
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 5+ years of experience 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, or similar frameworks.
- Strong experience operating cloud or datacenter-scale infrastructure.
Nice to have
- Experience with bare-metal provisioning and hardware lifecycle management platforms (e.g., MAAS, Ironic, xCAT, xCAT, or similar).
- Experience with IPMI, Redfish, PXE boot, and automated operating system deployment at scale.
- Experience managing GPU clusters in datacenter or cloud environments.
Full description
Data Center Infrastructure Software Engineer
Location: Hybrid | Bellevue, WA (downtown)**
Titles: **Senior | Staff | Principal (multiple roles available)
Build the Data Center Software Infrastructure
About the Opportunity
A well-funded, rapidly growing AI infrastructure company is building a next-generation cloud platform designed to power the full lifecycle of artificial intelligence. The organization is developing a comprehensive AI infrastructure, platform, and services portfolio that supports the full spectrum of AI workloads including large-scale compute, model training, fine-tuning, inference, and emerging agentic AI applications.
Backed by significant long-term investment, the company combines the speed, ownership, and innovation of a startup with the stability and resources of an established parent organization. Engineering teams are intentionally lean, highly collaborative, and AI-native, leveraging modern tooling and automation to build infrastructure capable of supporting the industry's most demanding AI workloads.
We're seeking Data Center Software Engineers to lead the design, development, configuration, and automation of AI infrastructure clusters.
The Opportunity
Your responsibility begins once servers and racks are installed in the data center and extends through software deployment, networking, configuration, cluster bring-up, and automation, ensuring the platform is fully operational and ready for customer workloads.
What You'll Do
- 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.
What We're Looking For
- 5+ years of experience 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, or similar frameworks.
- Strong experience operating cloud or datacenter-scale infrastructure.
Preferred Qualifications
- Experience with bare-metal provisioning and hardware lifecycle management platforms (e.g., MAAS, Ironic, xCAT, xCAT, or similar).