Forward Deployed Engineer, Kubernetes

Broadcom

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
TN
Salary
$110,800–$177,300 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live yesterday
Closes
Apr 7, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k
This role $144k
$96k $245k
below market most similar roles pay here above market

This role pays less than 89% of similar roles. Most pay $188,487–$230,400 — the blue band above. At the midpoint, this role pays about $144k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About Broadcom

Broadcom is a global semiconductor and infrastructure software company that designs and markets a wide range of networking, storage, and wireless connectivity solutions. Industry: Semiconductors & Infrastructure Software

Broadcom currently has 280 open roles on FindRole.

Listed pay typically runs $121,900–$195,000 across 169 roles with salary data.

Most-posted roles

View all roles at Broadcom

At a glance

TL;DR · Forward Deployed Engineer, Kubernetes

The Forward Deployed Engineer - Kubernetes joins the Infrastructure Software Division to work as an embedded engineering liaison alongside enterprise client teams. This role involves the full lifecycle of engagements, including architecture, bare metal re-platforming, and production rollouts. You will write production code, build prototype integrations, and troubleshoot live networking, storage, and GPU failures. Key responsibilities include migrating legacy data stacks and stateful engines like Apache Kafka, Redis, and Oracle Coherence to Kubernetes. You will architect vSphere Kubernetes Service clusters and deploy AI inferencing workloads using vLLM, Ray, and NVIDIA vGPU. Required skills include Terraform, Helm, and GitOps tools like ArgoCD. You will solve complex problems involving distributed AI frameworks, vector databases, and multi-Kubernetes integrations across hybrid cloud environments.

What does a Forward Deployed Engineer earn?

Median $219575 from 46 postings across 19 companies.

See salary data

What you'll do

  • Write production code and build prototype integrations directly within customer production environments.
  • Architect, deploy, and maintain production-grade vSphere Kubernetes Service (VKS) clusters on hybrid cloud infrastructure.
  • Lead technical migrations of bare metal environments and legacy data stacks to cloud-native Kubernetes targets.
  • Deploy and scale production AI inferencing workloads, RAG architectures, and model serving frameworks using virtualized GPUs.
  • Containerize and migrate heavy stateful engines, message brokers, and distributed caches onto Kubernetes.
  • Debug live networking, storage, and GPU failures while optimizing VKS performance for enterprise clients.
  • Translate field-tested code and customer pain points into prioritized product requirements for core engineering teams.
  • Identify migration blockers and build rapid field fixes to shorten software iteration cycles.

What we're looking for

  • 12+ years of related experience is required.
  • Bachelor's degree preferred.
  • Experience operating GPU accelerated Kubernetes nodes, model serving runtimes, vector databases, and distributed AI orchestration.
  • Experience containerizing and operating high throughput/low latency platforms including Redis, Kafka, RabbitMQ, and Hadoop.
  • Deep technical knowledge of deploying and scaling containerized data services, AI engines, and orchestrators like Ray, Spark, and Flink.
  • Advanced skills in Terraform, Helm, Kubernetes Operators, Cluster API, and GitOps tools like ArgoCD or Flux.
  • Technical depth across competing enterprise Kubernetes distributions such as OpenShift, EKS, GKE, AKS, or Rancher.
  • Proven ability to translate technical customer requirements into product specifications and feature requests for core development teams.

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