Senior AI Infra Engineer for CaaS & GPUaaS Platform

Armada; Bellevue (WA); On-site; USD 158,000 - 197,000; Full time

Benefits offered by this job

Equity

Subsidized benefits

Medical, dental, and vision

401(k) & Roth 401(k)

Unlimited PTO

14 paid company holidays

Job summary

Armada is hiring a Senior Software Engineer to design and implement on-premise CaaS and GPUaaS, and to help build a cloud-integrated marketplace on bare metal Kubernetes clusters. You will contribute to architecture, implement core services, and drive performance and reliability across the stack.

This Bellevue-based role requires deep cloud-native experience, containerization, and GPU virtualization, with collaboration across engineering, operations, and product teams to deliver scalable

Qualifications

• BS or MS in CS/engineering or related field.
• 6+ years in infrastructure engineering or software development.
• Proven experience with CaaS and/or GPUaaS platforms.
• Strong Docker and Kubernetes expertise.
• Experience with bare metal infrastructure and cloud platforms (AWS/AZURE/GCP).
• Proficiency in Python/Go/Java and IaC tools (Terraform/Ansible).

Responsibilities

• Design and implement scalable CaaS and GPUaaS on on-prem bare metal Kubernetes.
• Develop a cloud-integrated marketplace for app deployment.
• Build backend services and API integrations for marketplace.
• Create secure deployment workflows and documentation.
• Implement monitoring, logging, and alerting; optimize resources.
• Collaborate with engineering, operations, and product teams.

Skills

CaaS/GPUaaS design

Kubernetes

Docker

Terraform

Ansible

Python

Go

Java

AWS

Azure

GCP

KVM

KubeVirt

GPU virtualization

Education

Bachelor's or Master's in Computer Science or related field

Tools

KVM

KubeVirt

containerd

GPU virtualization techs

Job description

Armada is hiring a Senior Software Engineer to design and implement on-premise CaaS and GPUaaS, and to help build a cloud-integrated marketplace on bare metal Kubernetes clusters. You will contribute to architecture, implement core services, and drive performance and reliability across the stack.

This Bellevue-based role requires deep cloud-native experience, containerization, and GPU virtualization, with collaboration across engineering, operations, and product teams to deliver scalable