Senior Kubernetes Architect for Agentic AI Pipelines

Abundance Network; Menlo Park (CA); Hybrid; USD 170,000 - 230,000; Full time

Job summary

SLAC National Accelerator Laboratory seeks a Senior Kubernetes Engineer to design, build, and operate scalable Kubernetes-based platforms for scientific and agentic workflows. You will collaborate with researchers across SLAC, DOE labs, and partner institutions to enable autonomous AI-driven pipelines and real-time data processing.

The role emphasizes cloud-native platform primitives, IaC, GitOps, and robust observability, ensuring high availability and performance for petabyte-scale data and

Qualifications

• 8+ years of software or infrastructure engineering experience.
• Production Kubernetes design, deployment, and operations.
• Experience with cloud-native platforms and large-scale systems.

Responsibilities

• Design, build, and operate Kubernetes-based platforms for scientific workloads.
• Develop IaC and GitOps pipelines for platform automation.
• Lead agentic AI workflow enablement and multi-agent orchestration patterns.
• Collaborate with researchers and DOE partners to define platform requirements.
• Ensure reliability with observability, SLOs/SLAs, and incident response.

Skills

Kubernetes

Python

Go

CI/CD

GitOps

Observability

Distributed systems

Education

Bachelor's degree in Computer Science or related field

Job description

SLAC National Accelerator Laboratory seeks a Senior Kubernetes Engineer to design, build, and operate scalable Kubernetes-based platforms for scientific and agentic workflows. You will collaborate with researchers across SLAC, DOE labs, and partner institutions to enable autonomous AI-driven pipelines and real-time data processing.

The role emphasizes cloud-native platform primitives, IaC, GitOps, and robust observability, ensuring high availability and performance for petabyte-scale data and