Forward Deployed Engineer – Kubernetes

Broadcom

. Act as an embedded engineering liaison across the Infrastructure Software Division .

Posted 10/21/2026full-timeRemote • Tennessee • United StatesSeniorLead💰 $110,800 - $177,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting, deploying, and maintaining production-grade VKS clusters across hybrid cloud infrastructure, with a strong focus on Kubernetes and AI inferencing workloads. Proven ability to lead complex engineering projects and translate technical requirements into actionable product features.

Highest-signal resume keywords

Kubernetes ExpertiseGPU-Accelerated Node OperationVKS Cluster ArchitectureAI Workload DeploymentTerraform and Helm Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesVKSGPU OperationContainerizationDistributed CachingApache SparkTerraformHelmGitOpsAI Inferencing

Soft Skills

Technical LeadershipCustomer Requirement TranslationCollaboration

Tools & Technologies

VMware Cloud FoundationOpenShiftEKSGKEAKSRancherVLLMTriton Inference ServerMilvusQdrant

Industry Keywords

Cloud-NativeHybrid Cloud InfrastructureData ProcessingOrchestrationDistributed AI Frameworks

Tech Stack

Tools & technologies

AirflowApacheCassandraCloudElasticSearchFluxKubernetesOpenShiftRaySparkTerraformVMware

About the role

Key responsibilities & impact

Act as an embedded engineering liaison across the Infrastructure Software Division
Work with software architects, product managers, and enterprise client developers to eliminate deployment friction
Identify migration blockers and platform usability gaps, and build and test field fixes
Remain embedded with customer technical teams from pre-migration discovery through go-live and operational stabilization
Write production code, build manifests, debug live networking, storage, and GPU failures, and optimize VKS performance
Translate field-tested code, architectural patterns, and customer pain points into prioritized platform features
Architect, deploy, and maintain production-grade VKS clusters across VMware Cloud Foundation and hybrid cloud infrastructure
Lead migration strategies for enterprise platforms, bare metal environments, and legacy data stacks to VKS or cloud-native Kubernetes
Deploy, tune, and scale AI inferencing workloads, RAG architectures, vector search, and model-serving frameworks on Kubernetes
Containerize, refactor, and migrate stateful engines, message brokers, distributed caches, and risk calculation/analytics platforms onto Kubernetes
Architect cloud-native deployments for data processing, orchestration, and distributed AI frameworks
Guide clients evaluating or operating VKS alongside OpenShift, EKS, GKE, AKS, and Rancher distributions

Requirements

What you’ll need

12+ years related experience required
Bachelor's degree preferred
Relevant years of experience in lieu of a degree may be considered
Deep alignment with product engineering workflows and experience within or alongside core software/R&D divisions
Proven experience with long-term, complex engineering projects involving customer technical leadership and developers
Ability to translate technical customer requirements and field workarounds into product specifications and feature requests
Hands-on experience operating GPU-accelerated Kubernetes nodes
Experience with vLLM, TGI, Triton Inference Server, Milvus, Qdrant, Pgvector, Ray, and KubeRay
Experience containerizing and operating distributed caching, in-memory grids, compute and analytics engines, messaging and streaming platforms
Technical knowledge of Ray, vLLM, Apache Spark, Apache Flink, Dask, Apache Airflow, Prefect, Dagster, Argo Workflows, Trino/Presto, Apache Cassandra/ScyllaDB, Elasticsearch/OpenSearch, Milvus, and Qdrant
Technical depth across OpenShift, EKS, GKE, AKS, or Rancher RKE/RKS
Advanced skills in Terraform, Helm, Kubernetes Operators (KPO), Cluster API (CAPI), and GitOps with ArgoCD or Flux

Benefits

Comp & perks

Discretionary annual bonus
Competitive new hire equity grant
Annual equity awards
Medical, dental and vision plans
401(K) participation including company matching
Employee Stock Purchase Program (ESPP)
Employee Assistance Program (EAP)
Company paid holidays
Paid sick leave and vacation time
Paid Family Leave and other leaves of absence in accordance with applicable laws