Senior Manager - Networking Engineering

Core42 US Services LLC

1d•Remote

About The Position

The Senior Manager of Network Engineering will lead the strategy, design, deployment, and operational excellence of network infrastructure supporting large-scale GPU, AI, and HPC environments. This role is responsible for building and managing high-performing network engineering teams while ensuring the reliability, scalability, security, and performance of multi-tenant and high-density network environments. The ideal candidate brings deep expertise in AI and HPC network architectures, including high-speed Ethernet, InfiniBand, RoCEv2, segmentation, routing, firewall policy, and multi-site connectivity. This leader will partner closely with infrastructure, security, facilities, operations, and executive leadership to deliver resilient network platforms that support rapid growth and demanding performance requirements.

Requirements

10+ years of experience in network engineering, including large-scale data center, HPC, cloud, or AI environments.
5+ years of leadership experience managing network engineering teams or programs.
Deep expertise in data center networking: BGP, EVPN/VXLAN, VRFs, VLANs, routing, switching, and segmentation.
Strong experience with InfiniBand, RoCEv2, and high-speed Ethernet in GPU or HPC environments.
Proven experience designing and operating secure multi-tenant network architectures.
Strong understanding of firewall platforms and network security controls in complex environments.
Experience working with ISPs, carriers, and vendors for provisioning and escalation management.
Hands-on experience with network monitoring, telemetry, packet capture, and troubleshooting tools.
Demonstrated ability to build, lead, and scale technical engineering teams.
Strong communication skills and ability to translate technical strategy into business impact.

Nice To Haves

Experience in GPUaaS, AI cloud, sovereign cloud, or large-scale HPC environments.
Knowledge of zero trust architecture and microsegmentation.
Familiarity with data center physical infrastructure (power, cooling) as it relates to networking.
Experience with infrastructure-as-code and network automation.
Certifications such as CCNP, CCIE, JNCIP, PCNSE, or equivalent.
Experience with multi-site or geographically distributed network environments.

Responsibilities

Develop and execute the network engineering strategy for large-scale AI, GPU, and HPC infrastructure, ensuring scalability, performance, and operational resilience.
Lead the design, implementation, and lifecycle management of high-performance network environments, including Ethernet, InfiniBand, RoCEv2, management, storage, and tenant-isolated network fabrics.
Oversee multi-tenant network architectures, including segmentation, VRFs, VLANs, routing domains, and secure traffic flow between environments.
Establish and enforce network security standards, including firewall policy design, access controls, and traffic inspection aligned with organizational and regulatory requirements.
Partner with infrastructure engineering, security, and operations teams to ensure network architecture integrates with compute, storage, and data center design.
Collaborate with ISPs, carriers, and hardware vendors for service delivery, escalation management, capacity planning, and performance optimization.
Drive network observability through monitoring, alerting, logging, and performance analysis across critical services and transport layers.
Lead incident response and root cause analysis for major network events, ensuring timely resolution and continuous improvement.
Build, mentor, and manage a high-performing network engineering team, setting priorities, development plans, and technical standards.
Define and maintain documentation standards for architecture, topology, policies, procedures, and change management.
Drive automation and standardization using tools such as Ansible, Python, or equivalent frameworks.
Establish and track KPIs for availability, latency, throughput, incident response, and network reliability.
Serve as the primary network engineering liaison to senior leadership, providing roadmap recommendations and risk assessments.
Evaluate emerging technologies to improve performance, security, and scalability across AI infrastructure environments.