Senior Virtualization & Orchestration Engineer

Designworks Talent • Bellevue, WA

10d • 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. This role helps build the platform layer that enables customers to reliably consume GPU compute at scale.

As part of the infrastructure engineering organization, you will design and operate virtualization, Kubernetes, provisioning, and orchestration systems for large-scale AI workloads across next-generation data center infrastructure. The work spans virtualization, Kubernetes, distributed systems, GPU infrastructure, and high-performance computing, including workload scheduling, resource allocation, cluster management, and infrastructure automation. Engineers own critical systems end-to-end and contribute to the platform's architecture and operational practices.

The role is hybrid 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. Multiple Engineer, Senior, and Staff roles are available.

Requirements

• 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.
• Comfort working in a fast-moving environment where architecture and processes are being established.
• U.S. work authorization is required.

Nice To Haves

• Experience with GPU scheduling technologies such as Slurm, Kubernetes device plugins, NVIDIA GPU Operator, or similar frameworks.
• Experience supporting AI infrastructure, machine learning platforms, HPC environments, or GPU cloud providers.
• Background building multi-tenant infrastructure platforms for cloud providers or large-scale compute environments.
• Experience with infrastructure automation, Infrastructure as Code, and platform engineering practices.
• Familiarity with high-performance networking and GPU cluster architectures.
• Candidates elsewhere in the U.S. who are open to relocation are encouraged to apply.

Responsibilities

• 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 to align orchestration systems with cluster architectures and constraints.
• 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 as the platform evolves.

Benefits

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

What This Job Offers

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