Senior Virtualization & Orchestration Engineer

Designworks Talent LLC

. Design and build virtualization infrastructure supporting GPU-intensive AI and HPC workloads .

Posted 10/3/2026full-timeBellevue • Washington • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building virtualization infrastructure for GPU-intensive AI and HPC workloads, with a strong focus on Kubernetes orchestration, resource management, and automation practices. Proven ability to enhance operational maturity and reliability of orchestration platforms in multi-tenant environments.

Highest-signal resume keywords

Kubernetes OrchestrationGPU Cluster ProvisioningInfrastructure AutomationVirtualization TechnologiesLinux-Based Infrastructure

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Applicant Tracking System Keywords

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Hard Skills

KubernetesGPU Scheduling TechnologiesInfrastructure as CodeDistributed SystemsResource ManagementWorkload SchedulingVirtualizationAI InfrastructureHPC EnvironmentsMulti-Tenant Infrastructure

Soft Skills

Problem SolvingCollaborationAdaptability

Tools & Technologies

NVIDIA GPU OperatorSlurmContainer OrchestrationCloud PlatformsHigh-Performance Networking

Industry Keywords

AI Cloud PlatformGPU ComputeInfrastructure PlatformsCloud ComputingOperational Maturity

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetesLinux

About the role

Key responsibilities & impact

Design and build virtualization infrastructure supporting GPU-intensive AI and HPC workloads
Develop and operate Kubernetes-based orchestration systems for GPU cluster provisioning and workload scheduling
Build automated provisioning systems to allocate, scale, and reclaim GPU capacity efficiently across multiple tenants
Design solutions for workload placement, resource management, and cluster lifecycle operations
Partner with hardware, networking, infrastructure, and AI platform teams
Improve the reliability, security, scalability, and operational maturity of the orchestration platform
Build tooling and automation to simplify infrastructure management and improve developer and customer experiences
Contribute to architectural decisions, engineering standards, and best practices
Build the platform layer enabling customers to reliably consume GPU compute at scale across a multi-tenant AI cloud platform

Requirements

What you’ll need

Strong hands-on experience with Kubernetes and container orchestration in production environments
Experience designing, building, and operating large-scale infrastructure platforms
Background with virtualization technologies supporting cloud, HPC, GPU, or distributed computing environments
Understanding of GPU cluster provisioning, workload scheduling, and resource management
Experience with Linux-based infrastructure and distributed systems concepts
Ability to independently own complex systems from design through production operation
Comfortable working in a fast-moving environment where architecture and processes are being established
Preferred: experience with GPU scheduling technologies such as Slurm, Kubernetes device plugins, NVIDIA GPU Operator, or similar frameworks
Preferred: experience supporting AI infrastructure, machine learning platforms, HPC environments, or GPU cloud providers
Preferred: background building multi-tenant infrastructure platforms for cloud providers or large-scale compute environments
Preferred: experience with infrastructure automation, Infrastructure as Code, and platform engineering practices
Preferred: familiarity with high-performance networking and GPU cluster architectures
U.S. work authorization required
Visa sponsorship is not currently available
Ability and willingness to work in a hybrid arrangement in the Bellevue, WA area, approximately three days per week in the office

Benefits

Comp & perks

Certain roles are eligible for merit increases, annual bonus, and long term incentives based on individual performance
Medical, dental, and vision insurance for U.S.-based employees
401(k) plan and company match
Paid holidays per calendar year
Hybrid work arrangement