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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager of Network Engineering and Operations - **Company:** Zoom Video Communications, Inc. - **Location:** San Jose, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $146,700.0 - $339,300.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Border Gateway Protocol, Cloud Computing, Computer Clusters, Complex Networks, System Configuration, Data Centers, Ethernet, Monitoring of Systems, Network Topologies, InfiniBand, IPv6, Multi-protocol Systems, Python (Programming Language), Machine Learning, Netconf, NetFlow, Wireless Security, Routing, Network Segmentation, Open Shortest Path First (OSPF), Remote Direct Memory Access, Ansible, Prometheus, Zero Trust Network Access, Runbook, SAP Sales and Distribution, Simple Network Management Protocols, Wide Area Networks, Wireless Networks, Network Switches, Graphics Processing Unit (GPU), Grafana, ARUBA, Juniper, AI Platforms, Low Latency, Palo Alto Networks, Machine Learning Operations, Terraform, Open Network Automation Platform, Oracle Cloud Infrastructure, Grpc - **Published:** August 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9aa24dfcf0930e2f ## About the Role * Have 10+ years of network engineering and data center expertise, with 5+ years in people management experience. * Demonstrate hands-on experience with Juniper, Aruba, and Palo Alto Networks (Panorama, Prisma), and deep knowledge of Zero Trust frameworks, network segmentation, and identity-aware security solutions. * Demonstrate advanced routing and WAN architecture skills including BGP, OSPF, IS-IS, EVPN, MPLS, SD-WAN, IPv6 dual-stack operations. Cloud interconnectivity across AWS, OCI FastConnect, and GCP, with expertise in wireless architecture, RF engineering, and network observability using Grafana and Prometheus. * Have specialized AI/ML infrastructure experience with high-performance networking for GPU clusters (InfiniBand, RDMA, RoCE, lossless Ethernet), colocation and data center operations, and vendor relationship management at scale. * Have proven management experience of globally distributed teams across multiple time zones. Have track record of experience in complex network transformations, and data center migrations from planning through execution. * Have the ability to translate complex technical concepts for executive audiences. Able to collaborate with architecture and security teams, and produce high-quality documentation including runbooks, architecture diagrams, and technical specifications. Be results-driven, strategic, and hands-on, with expertise in automation, reliability, and operational excellence, combined with resilience under pressure, curiosity, and a customer-focused mindset. ## Description * Managing and developing a globally distributed team of 12 network engineers and data center technicians. Driving recruitment, performance management, career development planning, and compensation reviews while supporting 24/7 follow-the-sun coverage. * Operating global WAN, metro area networks, and campus LAN infrastructure across 15+ office locations and multiple data centers. Managing Juniper routing and switching platforms with hands-on configuration, optimization, and troubleshooting. * Managing wireless infrastructure including controller management, campus deployments, mobility services, wireless security, and RF engineering. Optimizing WAN architecture for performance, redundancy, cost-efficiency, and global connectivity. Supporting cloud interconnectivity strategies across AWS Direct Connect, Azure ExpressRoute, and GCP Cloud Interconnect. Drive network automation initiatives using infrastructure-as-code principles with Ansible, Terraform, and Python. * Operating global routing architecture including BGP (iBGP, eBGP), MPLS, and SD-WAN. Manage Palo Alto Networks firewall infrastructure including Panorama management and policy optimization alongside Zscaler and Prisma web proxies. * Managing comprehensive network performance monitoring and observability platforms. Designing custom dashboards and alerting for network health, capacity, latency, throughput, and availability metrics using telemetry protocols including gRPC, NETCONF, SNMP, sFlow, and NetFlow. * Providing infrastructure support for high-performance AI/ML training workloads. Optimizing network topology and traffic engineering for GPU clusters (100+ GPUs), collective communications (all-reduce, all-gather), and rail-optimized architectures in partnership with ML Engineering and AI Platform teams. * Overseeing global data center operations including colocation facilities, dense GPU deployments with specialized power and cooling requirements. 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