Senior Software Engineer - Cloud Native Storage

Senior Software Engineer - Cloud Native Storage Design and implement scalable distributed storage control-plane workflows for Kubernetes across thousands of clusters

Location: California, United States

Compensation: $141, USD / year

Job Tags: Software

The VMware Cloud Foundation Division enables organizations around the world to run their business critical and modern applications in a secure, resilient, and cost-efficient manner. With our flagship product VMware vSphere, and our industry-leading technologies including vSAN, VLR, NSX and Aria, Broadcom customers receive the scale and agility of a public cloud with the security and performance of a private cloud.

Our mission is to elevate Broadcom's Cloud Native Storage and VKS platforms as the premier choice for operating and scaling modern workloads. We aim to deliver a seamless 'just works' Kubernetes cluster experience by abstracting complex orchestration. This allows users to effortlessly leverage our industry-leading vSAN storage solutions for running enterprise-grade modern workloads.

We are seeking a Senior Software Engineer to join our Cloud Native Storage (CNS) team.

CNS is a crucial control plane feature that enables vSphere Kubernetes to seamlessly manage the entire lifecycle of persistent volumes for containerized applications. This capability is essential for onboarding customers and delivering smooth storage solutions for modern workloads. It utilizes a Container Storage Interface (CSI) driver to automate the provisioning of storage for stateful applications, allowing Kubernetes environments to leverage vSAN, VMFS, and NFS data stores.

Key responsibilities include:

• Reliable Operation:
  Ensure the dependable operation of Kubernetes storage control planes across thousands of enterprise environments.
• Lifecycle Management:
  Oversee the complete lifecycle management of Kubernetes workload clusters.
• Enablement:
  Work at multiple layers, from the storage control plane to the vSAN data plane, to effectively enable Kubernetes workloads.
• Scope:
  This role offers significant latitude and broad focus, encompassing the entire stack from the Kubernetes storage control plane down to the vSAN data plane layers, specifically to enable and optimize Kubernetes workloads.

You will address challenging problems such as:

• Distributed Storage Control-Plane Design:
  Architecting and implementing kubernetes storage control-plane workflows for creation, upgrade, movement, and scaling across thousands of clusters.
• Resiliency in Distributed Systems:
  Building robust storage control-plane resiliency to handle enterprise-grade failure scenarios—including upgrades, split-brain conditions, networking outages, and version skew—when multiple clusters utilize shared underlying storage systems.
• Rigorous Testing:
  Developing automated and comprehensive tests to validate the correctness, upgrade process, and resilience of complex distributed systems.

What You'll Do (Responsibilities & Day to day assignments):

• Design & Implementation:
  Lead the design and hands‑on implementation of distributed systems, primarily utilizing Go and/or C++.
• Feature Delivery & Ownership:
  Take full ownership of the Software Development Lifecycle (SDLC) within designated technical areas to accelerate the delivery of product features. Utilize AI tools for specification-driven development, focusing on deployment in a highly scalable environment while maintaining an exceptionally high standard of quality.
• Cross-Functional Collaboration:
  
  Work closely with Technical Leads (TLs), architects, dependent teams and Product Management to translate ambiguous, large-scale problems into clear technical designs, execution plans, and manage technical dependencies and risks.
• Production Support:
  Troubleshoot and debug production and non-production issues across multiple layers.
• Culture:
  Foster a culture of technical excellence, accountability, and continuous improvement within the team.

What You Bring (Preferred Qualifications/Expertise):

• Experience:
  
  A minimum of 5 years of experience building highly scalable distributed systems applications.
• Education:
  
  Bachelor's, Master's, or Ph.D. in Computer Science & Engineering.
• Foundational…