Leads the design, architecture, engineering, and operational strategy for large-scale RDMA backend fabrics supporting AI, HPC, and cloud infrastructure. This role is responsible for building and scaling high-performance, low-latency network fabrics, driving end-to-end network architecture decisions, and leading teams responsible for fabric design, validation, deployment, automation, reliability, and lifecycle management. The Senior Manager partners with silicon vendors, platform engineering, systems architecture, capacity planning, and cloud infrastructure teams to deliver scalable, resilient, and future-ready networking solutions.
Internal Responsibilities
Key Responsibilities – RDMA Fabric Design, Architecture and Scale
- Lead architecture and design of large-scale RDMA fabrics supporting AI training, inference, HPC, and cloud workloads.
- Define network topology, routing strategy, congestion management, resiliency, and capacity models for multi-cluster deployments.
- Drive technology evaluation and roadmap decisions across Ethernet, RoCE, InfiniBand, optical networking, and emerging fabric technologies.
- Establish design standards, validation requirements, and deployment readiness criteria for production networks.
- Partner with hardware, systems, and cloud engineering teams to ensure network architecture aligns with platform requirements.
Network Engineering, Validation and Reliability
- Oversee lab validation, scale testing, performance benchmarking, and failure scenario analysis.
- Lead root cause analysis for complex network incidents involving congestion, packet loss, latency, or fabric instability.
- Develop strategies to improve network availability, performance, and operational excellence.
- Drive change management and deployment governance processes across multiple engineering teams.
- Establish SLOs, KPIs, and reliability metrics for large-scale backend networks.
Automation, Telemetry and Operations
- Lead development of automation frameworks for deployment, configuration management, testing, and operations.
- Drive adoption of telemetry, observability, anomaly detection, and network analytics platforms.
- Champion infrastructure-as-code and software-defined networking practices.
- Improve operational efficiency through automation and self-healing capabilities.
People Leadership and Cross-Functional Collaboration
- Build and lead a high-performing team of network architects and engineers.
- Coach and mentor engineers while developing future technical leaders.
- Partner with product, cloud, systems, and infrastructure organizations to align business priorities with engineering execution.
- Drive vendor engagement and influence roadmap decisions with strategic technology partners.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or related discipline.
- 12+ years of experience in networking, distributed systems, cloud infrastructure, or network architecture.
- 3+ years of people leadership experience with direct reports.
- Deep understanding of Layer 2/Layer 3 networking, routing protocols, data center networking, and network architecture.
- Experience designing or operating large-scale backend fabrics.
Preferred Qualifications
- Experience with RDMA technologies including RoCEv2 and/or InfiniBand.
- Experience building hyperscale cloud or large-scale AI/HPC network infrastructure.
- Knowledge of congestion control, ECMP, traffic engineering, QoS, and lossless Ethernet.
- Experience with network automation using Python, Go, Ansible, or similar technologies.
- Experience with telemetry platforms, network modeling, and capacity planning.
- Experience working with public cloud providers or large cloud environments.
- Advanced degree in Computer Science, Electrical Engineering, or related field.
Key Skills
- RDMA Fabric Architecture
- Cloud Networking
- Data Center Networking
- Network Scalability and Performance Engineering
- Automation and Observability
- People Leadership and Talent Development
- Vendor and Stakeholder Management
- Incident Management and Root Cause Analysis
External Responsibilities
Key Responsibilities – RDMA Fabric Design, Architecture and Scale
- Lead architecture and design of large-scale RDMA fabrics supporting AI training, inference, HPC, and cloud workloads.
- Define network topology, routing strategy, congestion management, resiliency, and capacity models for multi-cluster deployments.
- Drive technology evaluation and roadmap decisions across Ethernet, RoCE, InfiniBand, optical networking, and emerging fabric technologies.
- Establish design standards, validation requirements, and deployment readiness criteria for production networks.
- Partner with hardware, systems, and cloud engineering teams to ensure network architecture aligns with platform requirements.
Network Engineering, Validation and Reliability
- Oversee lab validation, scale testing, performance benchmarking, and failure scenario analysis.
- Lead root cause analysis for complex network incidents involving congestion, packet loss, latency, or fabric instability.
- Develop strategies to improve network availability, performance, and operational excellence.
- Drive change management and deployment governance processes across multiple engineering teams.
- Establish SLOs, KPIs, and reliability metrics for large-scale backend networks.
Automation, Telemetry and Operations
- Lead development of automation frameworks for deployment, configuration management, testing, and operations.
- Drive adoption of telemetry, observability, anomaly detection, and network analytics platforms.
- Champion infrastructure-as-code and software-defined networking practices.
- Improve operational efficiency through automation and self-healing capabilities.
People Leadership and Cross-Functional Collaboration
- Build and lead a high-performing team of network architects and engineers.
- Coach and mentor engineers while developing future technical leaders.
- Partner with product, cloud, systems, and infrastructure organizations to align business priorities with engineering execution.
- Drive vendor engagement and influence roadmap decisions with strategic technology partners.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or related discipline.
- 12+ years of experience in networking, distributed systems, cloud infrastructure, or network architecture.
- 3+ years of people leadership experience with direct reports.
- Deep understanding of Layer 2/Layer 3 networking, routing protocols, data center networking, and network architecture.
- Experience designing or operating large-scale backend fabrics.
Preferred Qualifications
- Experience with RDMA technologies including RoCEv2 and/or InfiniBand.
- Experience building hyperscale cloud or large-scale AI/HPC network infrastructure.
- Knowledge of congestion control, ECMP, traffic engineering, QoS, and lossless Ethernet.
- Experience with network automation using Python, Go, Ansible, or similar technologies.
- Experience with telemetry platforms, network modeling, and capacity planning.
- Experience working with public cloud providers or large cloud environments.
- Advanced degree in Computer Science, Electrical Engineering, or related field.
Key Skills
- RDMA Fabric Architecture
- Cloud Networking
- Data Center Networking
- Network Scalability and Performance Engineering
- Automation and Observability
- People Leadership and Talent Development
- Vendor and Stakeholder Management
- Incident Management and Root Cause Analysis
