Staff Data Center Infrastructure Software Engineer

Designworks Talent • Bellevue, WA

20d • Hybrid

About The Position

The company is building a next-generation cloud platform and AI infrastructure portfolio for workloads including large-scale compute, model training, fine-tuning, inference, and agentic AI applications. Engineering teams are lean, collaborative, and AI-native, using modern tooling and automation.

Data Center Software Engineers lead the design, development, configuration, and automation of AI infrastructure clusters. The work begins after servers and racks are installed and spans software deployment, networking, configuration, cluster bring-up, and automation to make the platform operational and ready for customer workloads. This is a hybrid role in the Bellevue, Washington area, with approximately three days per week in the office. Candidates elsewhere in the United States who are open to relocation are encouraged to apply. U.S. work authorization is required; visa sponsorship is not currently available.

The role offers an early opportunity to shape the team's architecture, tooling, and culture, and to work on AI infrastructure at scale, from data center design through GPU clusters to production inference. Competitive base pay for the Bellevue market is offered. Certain roles may also receive merit increases, an annual bonus, and long-term incentives based on individual performance.

Requirements

• At least 5 years of experience designing, building, or operating large-scale Linux-based infrastructure.
• Hands-on production experience with Kubernetes, containerization, and distributed systems.
• Experience with infrastructure-as-code and automation tools such as Terraform, Ansible, or similar frameworks.
• Strong experience operating cloud- or data-center-scale infrastructure.
• U.S. work authorization is required; visa sponsorship is not currently available.

Nice To Haves

• Experience with bare-metal provisioning and hardware lifecycle management platforms such as MAAS, Ironic, xCAT, or similar.
• Experience with IPMI, Redfish, PXE boot, and automated operating system deployment at scale.
• Experience managing GPU clusters in data center or cloud environments.
• Candidates elsewhere in the United States who are open to relocation are encouraged to apply.

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.
• Lead the design, development, configuration, and automation of AI infrastructure clusters.
• Support software deployment, networking, configuration, cluster bring-up, and automation after server and rack installation.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) plan and company match
• Paid holidays
• Certain roles are eligible for merit increases, annual bonus, and long-term incentives based on individual performance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed