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F5

Senior Manager, SRE & Networking

Reposted 3 Days Ago
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In-Office
San Jose, CA, USA
197K-295K Annually
Senior level
In-Office
San Jose, CA, USA
197K-295K Annually
Senior level
Lead multi-team SRE, Virtualization, Networking, and AI/GPU infrastructure to deliver reliable, scalable hybrid platforms. Own roadmap, operational excellence, SLO/SLI programs, automation/GitOps, Kubernetes and OpenStack operations, AI compute reliability, and cross-functional alignment and staffing.
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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. 

  • Build a high-performance, inclusive culture focused on ownership, excellence, and continuous improvement. 

What You Bring 

  • 10+ years infrastructure/SRE/platform engineering experience 

  • 5+ years managing engineering teams (including managers or tech leads) 

  • Deep experience with Kubernetes, virtualization, and cloud/networking 

  • Strong leadership, communication, and cross-functional alignment 

  • Proven record of accomplishment improving platform uptime, performance, and reliability 

Required Qualifications 

  • 10+ years of experience in SRE, Platform Engineering, Virtualization, Networking, or Infrastructure. 

  • 5+ years managing engineering teams. 

  • Proven leadership in:  

  • Kubernetes platforms (OpenShift, Titan‑k8s, Robin, Vanilla K8s) 

  • Virtualization (Proxmox, VMware, XCP‑ng, KVM) 

  • OpenStack (Nova, Neutron, Cinder, Keystone) 

  • Data center/cloud networking and distributed systems 

  • Strong executive communication skills and cross-org influencing ability. 

  • Demonstrated experience improving operational maturity and reliability for large-scale systems. 

  • Strong background in automation, CI/CD, observability, and infrastructure architecture. 

 

Preferred Qualifications:

  • Experience running large-scale multi-cluster Kubernetes environments. 

  • Experience with service mesh, ingress controllers, and network policy frameworks. 

  • Familiarity with GPU scheduling, Ray, Kubeflow, MLflow, or Triton Inference Server. 

  • Experience with storage backends (Ceph, vSAN, ZFS, CSI-based solutions). 

  • Experience driving multi-year infrastructure transformation programs. 

  • Expertise in GitOps and IaC (Terraform, Ansible, Pulumi). 

#LI-ZB1

 

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.

The annual base pay for this position is: $196,800.00 - $295,200.00

F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5’s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.

You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5’s benefits can be found at the following link: https://www.f5.com/company/careers/benefits. F5 reserves the right to change or terminate any benefit plan without notice. 

Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com).

Equal Employment Opportunity

It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination.  F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting [email protected].

Top Skills

Ai/Gpu Compute
Ansible
Ceph
Ci/Cd
Cinder
Csi
Firewalls
Gitops
Gpu Scheduling
Ingress Controllers
Keystone
Kubeflow
Kubernetes
Kubernetes Cni
Kvm
L4
L7
Mlflow
Network Policy
Neutron
Nova
Observability
Openshift
Openstack
Proxmox
Pulumi
Ray
Robin
Routing
Sdn
Service Mesh
Slo/Sli
Switching
Terraform
Titan-K8S
Triton Inference Server
Vanilla Kubernetes
VMware
Vsan
Xcp-Ng
Zfs

F5 San Jose, California, USA Office

90 Rio Robles, San Jose, CA, United States, 95134

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