Senior Kubernetes Engineer: Agentic AI Workflows

Stanfordlivetickets

Menlo Park (CA)

Hybrid

USD 163,000 - 221,000

Full time

14 days+
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Benefits offered by this job

Hybrid work options
Health benefits
Tuition assistance
On-site campus facilities

Job summary

SLAC National Accelerator Laboratory is seeking a Senior Kubernetes Engineer to design and operate scalable Kubernetes-based platforms for agentic scientific workflows. You will work with AUS on on-prem, hybrid, and multi-cluster deployments, building IaC with Helm, GitOps, and modern tooling, enabling AI-driven pipelines across DOE and partner institutions.

You will collaborate with researchers to define requirements for large-scale ML workflows, ensure observability, and contribute to a

Job description

SLAC National Accelerator Laboratory is seeking a Senior Kubernetes Engineer to design and operate scalable Kubernetes-based platforms for agentic scientific workflows. You will work with AUS on on-prem, hybrid, and multi-cluster deployments, building IaC with Helm, GitOps, and modern tooling, enabling AI-driven pipelines across DOE and partner institutions.

You will collaborate with researchers to define requirements for large-scale ML workflows, ensure observability, and contribute to a

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