Forward Deployed Engineer – Kubernetes

🕒 6 dias atrás

🎸 Tennessee – Remoto

infoinfo

💵 $110.800 - $177.300 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🔙 Engenheiro Backend

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Broadcom

10.000+ funcionários

Fundada em 1961

🏭 Manufatura

📦 Logística

💼 Consultoria

💰 Post-IPO Equity em 2017-10

Manufacturing • Logistics • Consulting

A Broadcom é uma empresa global de tecnologia que projeta, desenvolve e fornece uma ampla gama de soluções de semicondutores e software de infraestrutura. A companhia atende aos mercados de data center, redes, software, banda larga, sem fio, armazenamento e industrial. A Broadcom é reconhecida por suas soluções inovadoras em semicondutores e software que viabilizam a entrega de conteúdo de dados e vídeo em escala global. Além disso, a Broadcom mantém o compromisso com padrões de privacidade e acessibilidade em suas interações digitais e no atendimento ao cliente.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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