5-7 years of hands-on experience with Kubernetes and container orchestration in production environments.
Proven track record in designing and operating large-scale infrastructure platforms.
Familiarity with virtualization technologies for cloud, HPC, or distributed computing.
Knowledge of GPU cluster provisioning and workload scheduling.
Experience with Linux-based infrastructure and distributed systems concepts.
Ability to independently manage complex systems from design to production.
Adaptability to fast-paced environments with evolving architecture and processes.
Responsibilities
Design and build virtualization infrastructure for GPU-intensive AI and HPC workloads.
Develop and operate Kubernetes-based orchestration systems for GPU provisioning.
Create automated provisioning systems for efficient GPU capacity allocation.
Design solutions for workload placement and resource management.
Collaborate with hardware and AI platform teams to align orchestration systems with real-world constraints.
Enhance reliability, security, and scalability of the orchestration platform.
Build tooling to simplify infrastructure management and improve user experiences.
Benefits
Medical, dental, and vision insurance.
401(k) plan with company match.
Paid holidays each calendar year.
Opportunities for merit increases and annual bonuses based on performance.
Full Job Description
Virtualization & Orchestration Engineer - Member of Technical Staff
Location: Hybrid | Bellevue, WA (downtown) Multiple Levels and Roles available
The Opportunity
This is a foundational engineering role within the company's largest infrastructure engineering organization. You'll help design and build the systems that make GPU capacity available, scalable, secure, and reliable across a multi-tenant AI cloud platform.
You'll work at the intersection of virtualization, Kubernetes, distributed systems, GPU infrastructure, and high-performance computing, solving complex challenges around workload scheduling, resource allocation, cluster management, and infrastructure automation.
This opportunity is ideal for engineers who enjoy building large-scale platforms from the ground up and owning critical infrastructure systems end-to-end.
What You'll Do
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 that enable GPU capacity to be allocated, scaled, and reclaimed efficiently across multiple tenants.
Design solutions for workload placement, resource management, and cluster lifecycle operations.
Partner closely with hardware, networking, infrastructure, and AI platform teams to ensure orchestration systems align with real-world cluster architectures and constraints.
Improve the reliability, security, scalability, and operational maturity of the orchestration platform.
Build tooling and automation that simplifies infrastructure management and improves developer and customer experiences.
Contribute to architectural decisions, engineering standards, and best practices as the platform evolves.
What We're Looking For
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 Qualifications
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.
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.
