Senior Manager, SRE & Networking
F5About the role
At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.
About the Role
We are seeking a highly experienced Senior Manager to lead our Platform SRE, Virtualization, Networking, and AI Infrastructure organizations. This leader will oversee teams operating mission-critical infrastructure across:
Kubernetes platforms: OpenShift, Titan‑k8s, Robin, Vanilla Kubernetes
Virtualization & hypervisors: Proxmox, VMware, XCP‑ng, KVM
Private cloud platforms: OpenStack
Networking: Data center & cloud networking, L4/L7 services, Kubernetes CNI/service mesh
AI/GPU compute: BNK‑AI‑LAB & TMOS AI Lab clusters
This role is responsible for multi-team leadership, strategic platform roadmap, operational excellence, and end‑to‑end reliability across hybrid compute environments (VMs, containers, and AI workloads).
You will partner closely with Engineering, Cloud, Security, and Architecture leaders to deliver reliable, scalable, and developer-friendly platforms.
What You’ll Lead
Multi-team ownership: SRE, Networking, Virtualization, AI/GPU Infrastructure
Lead hybrid data centers — spanning routing, switching, firewalls, SDN/overlay, Kubernetes CNI, and service‑mesh/L4‑L7 traffic — to drive network reliability, performance, security, and automation.
Reliability strategy: SLO/SLI programs, incident management, automation, scaling
Kubernetes platform operations across multiple distros
Virtualization & private cloud: Proxmox, VMware, XCP-ng, KVM, OpenStack
Provide executive oversight for OpenStack compute storage, and networking services.
Ensure scalable VM lifecycle management, resource optimization, and operational maturity.
Networking: datacenter/cloud networking, CNI, service mesh, L4/L7 traffic
Own end‑to‑end reliability and performance of AI compute platforms, including model training/inference pipelines, GPU scheduling and autoscaling, and high‑performance compute environments
Partner with ML, Data, and Product to build next-gen AI compute platforms.
Drive adoption of automation-first operations, GitOps, and infrastructure-as-code.
Own the multi‑year platform roadmap across hybrid compute, Kubernetes, virtualization, AI, and networking while driving cross‑org alignment and leading large‑scale modernization across CI/CD, observability, and infrastructure.
Drive organizational strategy, prioritization, staffing plans, hiring, and budgeting.<
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