Senior Manager, AI Infrastructure Network Operations

Responsibilities

• Manage and develop a team of engineers responsible for RDMA/RoCE fabric operations, performance, automation, and troubleshooting.
• Lead operational and software engineering efforts that improve the reliability, availability, observability, and performance of OCI AI/HPC networking fabrics.
• Apply deep networking knowledge, including RDMA, RoCE, Ethernet fabrics, congestion control, QoS, telemetry, and large-scale troubleshooting.
• Apply software architecture and development experience to guide the design, debugging, and enhancement of operational tools, automation platforms, monitoring systems, and infrastructure services.
• Drive improvements within existing software and network architectures, and identify opportunities to simplify, automate, and scale operational workflows.
• Support customer escalations, NOC events and complex production incidents by coordinating technical investigation across networking, software, hardware, and operations teams.
• Define and execute team roadmaps focused on engineering efficiency, operational excellence, network performance, and service availability.
• Build and maintain data-driven metrics that represent fabric health, operational backlog, customer impact, performance trends, and business-critical service status.
• Partner with Network Availability, Network Automation, Network Monitoring, GNOC, deployment, and hardware teams to deliver reliable service to OCI customers.
• Ensure operational planning, staffing, readiness, and execution meet corporate and service-level expectations.
• Participate in the manager on-call rotation and provide leadership during high-severity incidents.
• Attract, mentor, and grow engineers with a mix of networking, software development, automation, and distributed systems experience.

Qualifications

• Strong background in operating or building network for large-scale cloud.
• Experience with RDMA/RoCE, GPU/HPC networking, Clos fabrics, congestion management, telemetry, and large-scale troubleshooting.