Data Center Infrastructure Software Engineer

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

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Paid holidays

Annual bonus

Long-term incentives

Hybrid work model

Job summary

Doist is seeking a Data Center Infrastructure Software Engineer to help build and operate our AI infrastructure at scale from Bellevue, WA on a hybrid schedule.

You will design automation for compute, networking, and storage, deploy Kubernetes clusters, optimize GPU and network paths, and improve reliability and observability across the stack while collaborating with a lean, AI-native engineering team.

Qualifications

• 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.

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

Containerization

Distributed systems

Infrastructure-as-code

Terraform

Ansible

Linux

Cloud/datacenter-scale infra

Tools

MAAS

Ironic

xCAT

Foreman

IPMI

Redfish

PXE

Job description

Data Center Infrastructure Software Engineer

Location: Hybrid | Bellevue, WA

Area 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, Foreman, or similar).
• Experience with IPMI, Redfish, PXE boot, and automated operating system deployment at scale.
• Experience managing GPU clusters in datacenter or cloud environments.

Compensation

Competitive base pay for Bellevue market

• Certain roles are eligible for additional rewards, including merit increases, annual bonus, and long term incentives. These awards are allocated based on individual performance
• U.S. based employees have access to medical, dental, and vision insurance, a 401(k) plan and company match, employees also receive per calendar year, paid holidays.

Location

Hybrid role based in the Bellevue, WA area.

Approximately three days per week in the office.

Candidates elsewhere in the U.S. who are open to relocation are encouraged to apply.

U.S. work authorization is required. Visa sponsorship is not currently available.

Why Join?

• Build the inference platform powering the next generation of AI applications.
• Work directly on large-scale model serving, GPU optimization, and production AI systems.
• Solve complex challenges around latency, throughput, reliability, and cost efficiency.
• Join early enough to influence architecture, tooling, and engineering practices.
• Collaborate with a highly experienced team building critical AI infrastructure from the ground up.
• Enjoy the ownership and technical impact of a startup environment backed by significant long-term investment.