Senior Manager, SRE - Seattle
6 hours ago
Job description
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).
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).
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, $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.
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:
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 ) or auto email notification from Workday (ending with or ).
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.
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