Senior Kubernetes Engineer, Scientific & Agentic Workflow Platforms

Job overview

The Senior Kubernetes Engineer, Scientific & Agentic Workflow Platforms is an onsite or hybrid role based in Menlo Park, CA, with compensation not specified. This position supports the Application and User Services group at SLAC National Accelerator Laboratory, building computational engines that enable autonomous scientific discovery. The role involves designing and operating highly available Kubernetes platforms optimized for scientific and agentic workloads. The engineer will architect scalable solutions for high-throughput data pipelines, implement infrastructure for AI-driven workflow orchestration, and partner with researchers to translate complex experimental requirements into robust platform solutions.

What you'll do

• Design and operate Kubernetes platforms
• architect high-throughput data pipelines
• implement agentic workflow orchestration
• maintain Infrastructure-as-Code
• provide platform support.

What we're looking for

Skills & competencies

full-time

day shift

menlo park ca

slac

kubernetes

python

go

cloud-native

ai

scientific computing

hybrid

onsite

Work arrangement

• Weekend coverage required

Benefits & perks

• Competitive salary, comprehensive health insurance, retirement plans, and professional development funding.

Why this role

Focus on agentic AI workflows and petabyte-scale scientific data.

About the employer

SLAC National Accelerator Laboratory is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.