Kubernetes Platform Engineer – GPU, HPC & DevOps

Green Key Resources; Oregon; On-site; USD 150,000 - 190,000; Full time

Job summary

Green Key Resources is seeking a Kubernetes Platform Engineer in Oregon to design and operate scalable clusters for GPU-accelerated workloads, emphasizing reliability and multi-tenant isolation.

You will build operators, manage GPU resources, improve scheduling, and collaborate with ML/HPC teams. Proficiency in GitOps, IaC, and incident response is required. This role is based in Oregon with on-site work expectations.

Qualifications

• Experience administering Kubernetes clusters at scale.
• Hands-on with GPU resources and multi-tenant isolation.
• Proficient in GitOps and IaC workflows.
• Strong abilities in monitoring, incident response, and on-call readiness.

Responsibilities

• Design and operate highly available Kubernetes platforms for accelerated workloads.
• Develop custom Kubernetes operators and automation to streamline infrastructure services.
• Integrate and manage GPU resources within Kubernetes.
• Improve workload scheduling and resource utilization with Kubernetes scheduling capabilities and other schedulers.
• Collaborate with platform engineering, ML, HPC, and DevOps teams for high-throughput environments.
• Build observability, monitoring, and telemetry for cluster infrastructure and workloads.
• Enforce secure multi-tenant environments with RBAC, namespaces, and policy controls.
• Maintain infrastructure delivery pipelines using GitOps and CI/CD practices.
• Manage IaC and Kubernetes configurations with Terraform and Helm.
• Participate in capacity planning, performance tuning, production readiness, and incident response.

Skills

Kubernetes

GPU scheduling

GitOps

Terraform

Helm

Observability

Incident response

Tools

Terraform

Helm

Prometheus

Kubernetes manifests

Job description

Green Key Resources is seeking a Kubernetes Platform Engineer in Oregon to design and operate scalable clusters for GPU-accelerated workloads, emphasizing reliability and multi-tenant isolation.

You will build operators, manage GPU resources, improve scheduling, and collaborate with ML/HPC teams. Proficiency in GitOps, IaC, and incident response is required. This role is based in Oregon with on-site work expectations.