Senior Software Engineer - Cloud Native Storage

Key Responsibilities

• 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.
• Distributed Storage Control-Plane Design: Architecting and implementing kubernetes storage control-plane workflows for creation, upgrade, movement, and scaling across thousands of clusters.
• Resilience 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

• 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.

What You Bring

• 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 Skills: Strong foundational knowledge in data structures and algorithms.
• Systems Expertise: Experience dealing with complex issues of scale, performance, and concurrency.

What Makes You an Ideal Fit

• Kubernetes (Preferred but Not Required): Hands-on experience building or operating Kubernetes-based systems. A deep understanding of the control plane architecture (API server, Persistent Volumes, etcd, controller-manager, etc.) and its role in maintaining desired state.
• Infrastructure (Required): Experience with infrastructure orchestration across compute, networking, and storage. Knowledge of Linux internals (cgroups, namespaces, etc.) and container runtimes (e.g., containerd).
• Knowledge of Container Storage Interface (CSI) and managing Persistent Volumes (PVs) and PVCs.
• Systems Design (Required): Strong systems design fundamentals, with a focus on consistency, availability, and failure handling.
• Work Style (Required): Ability to work independently on complex problems, collaborate effectively across teams, and communicate clearly.

Compensation and Benefits

• Annual Base Salary Range: $141,300 - $226,000
• Discretionary Annual Bonus: Eligible
• New Hire Equity Grant: Eligible
• Annual Equity Awards: Eligible
• Benefits Package: 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. The company follows all applicable laws for Paid Family Leave and other leaves of absence.