Field-Embedded Kubernetes Engineer for Enterprise AI

Broadcom; United States; Remote; USD 111,000 - 177,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Employee Stock Purchase Program

Paid leave

Job summary

Broadcom is seeking a hands-on Forward Deployed Engineer specializing in Kubernetes, platform modernization, and enterprise AI infrastructure. You will embed with client teams from architecture to production rollout, writing production code in the field and shaping core platform capabilities.

You will lead migrations of massive bare metal environments, deploy VKS clusters, and scale AI inference workloads across VMware Cloud Foundation and hybrid cloud architectures.

Qualifications

• Bachelor's degree preferred. Relevant years of experience may be considered in lieu of degree.
• 12+ years related experience required in enterprise environments.
• Hands on experience with GPU accelerated Kubernetes nodes and AI model serving.

Responsibilities

• Act as an embedded engineering liaison across the ISG to eliminate deployment friction.
• Identify migration blockers and rapidly build field fixes to shorten iterations.
• Stay embedded with customer teams from pre-migration discovery to go-live and stabilization.
• Write production code in the field and contribute to core engineering.
• Architect, deploy, and maintain production-grade VKS clusters across VCFoundation and hybrid cloud.
• Lead migration strategies for large bare metal environments to Kubernetes targets.
• Deploy and scale AI inference workloads and vector databases on Kubernetes.

Skills

Kubernetes

AI Infrastructure

Distributed systems

Field engineering

Education

Bachelor's degree

Tools

Terraform

Helm

Kubernetes Operators

GitOps

ArgoCD

Job description

Broadcom is seeking a hands-on Forward Deployed Engineer specializing in Kubernetes, platform modernization, and enterprise AI infrastructure. You will embed with client teams from architecture to production rollout, writing production code in the field and shaping core platform capabilities.

You will lead migrations of massive bare metal environments, deploy VKS clusters, and scale AI inference workloads across VMware Cloud Foundation and hybrid cloud architectures.