Kubernetes & GPU Orchestration Platform Engineer

Jobtailor; Bellevue (WA); On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor in Bellevue, WA is seeking a platform engineer to design and operate GPU-focused infrastructure, Kubernetes orchestration, and multi-tenant provisioning for scalable AI and HPC workloads.

You will collaborate across hardware, networking, and AI platform teams to align orchestration with real-world cluster architectures, while driving reliability, security, and operational maturity of the infrastructure.

Qualifications

• Hands-on experience with Kubernetes in production
• Design and operate large-scale infrastructure platforms
• Background with virtualization for cloud/HPC/GPU
• Understanding GPU provisioning and workload scheduling

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 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 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.

Skills

Kubernetes orchestration

Linux systems

Infrastructure as Code

Distributed systems

Resource management

Tools

NVIDIA GPU Operator

Slurm

Container orchestration

Terraform

Cloud providers

Job description

Jobtailor in Bellevue, WA is seeking a platform engineer to design and operate GPU-focused infrastructure, Kubernetes orchestration, and multi-tenant provisioning for scalable AI and HPC workloads.

You will collaborate across hardware, networking, and AI platform teams to align orchestration with real-world cluster architectures, while driving reliability, security, and operational maturity of the infrastructure.