Base Salary
$111k - $177k/yr
Responsibilities
- Collaborate directly with core software architects, product managers, and enterprise developers to remove deployment and adoption friction.
- Build, test, and deploy production code, prototype integrations, and field fixes in customer environments.
- Own customer engagements from pre-migration discovery through go-live and operational stabilization.
- Write code, build Kubernetes manifests, troubleshoot live networking, storage, and GPU failures, and optimize VKS performance.
- Architect, deploy, and maintain production VKS clusters across VMware Cloud Foundation and hybrid cloud infrastructure.
- Lead migrations from bare metal, legacy platforms, and data stacks to VKS or cloud-native Kubernetes targets.
- Deploy, tune, and scale AI inferencing, RAG, vector search, and model-serving workloads using virtualized GPU resources.
- Containerize, refactor, and migrate stateful engines, message brokers, distributed caches, and analytics platforms onto Kubernetes.
- Architect operator-driven deployments for cloud-native data processing, orchestration, and distributed AI frameworks.
- Guide customers operating VKS alongside OpenShift, EKS, GKE, AKS, and Rancher distributions.
- Convert customer pain points, field-tested code, and architectural patterns into product requirements and feature priorities.
Requirements
- 12+ years of related experience is required.
- Bachelor's degree is preferred; relevant experience may be considered in lieu of a degree.
- Experience working within or closely alongside product engineering or R&D organizations rather than only in IT or professional services.
- Proven experience leading long-term, complex engineering engagements with customer technical leaders and developers.
- Hands-on experience with GPU-accelerated Kubernetes, model-serving runtimes, vector databases, and distributed AI orchestration.
- Experience containerizing and operating distributed systems, stateful workloads, caching platforms, messaging systems, analytics engines, and data services.
- Deep technical knowledge of deploying, tuning, and scaling containerized data services, AI engines, and orchestrators.
- Technical proficiency across competing enterprise Kubernetes distributions.
- Advanced skills in Terraform, Helm, Kubernetes Operators, Cluster API, and GitOps tools.
Benefits
- Annual base salary range of USD 110,800.00 to USD 177,300.00, plus eligibility for a discretionary annual bonus and equity awards.
- Medical, dental, and vision plans.
- 401(k) participation with company matching.
- Employee Stock Purchase Program and Employee Assistance Program.
- Company-paid holidays, paid sick leave, vacation time, and applicable paid family and other leaves of absence.
Tech Stack
Categories
About Broadcom
Broadcom provides semiconductors and infrastructure software for global organizations’ complex, mission-critical needs. We combine long-term R&D investment with superb execution to deliver the best technology, at scale. Through focus and expertise, Broadcom sets the standard in industries where technology breakthroughs shape markets. Our semiconductor and semiconductor-based solutions serve markets across networking connectivity, wireless device connectivity, servers and storage systems, broadband, and industrial. Broadcom’s infrastructure software solutions serve markets including private cloud, mainframe software, cybersecurity, enterprise software, and Fibre Channel storage area network management. With these core technologies, we help customers accelerate their innovation.