
Solutions Architect β BIG-IP Next for Kubernetes
Posted Aug 24

Posted Aug 24
This is a fully remote position, open to applicants in California, +8 more states.
β’ Lead the architectural strategy and solution design for enterprise Kubernetes, high-performance networking, and AI workload ingress/egress initiatives.
β’ Collaborate with a Principal Account Executive to assess opportunities, implement technical win strategies, and align F5 capabilities with executive business cases.
β’ Engage directly with CTOs, Chief Architects, and Platform Engineering leaders within hyper-scale Neoclouds and AI Native organizations.
β’ Facilitate technical discovery, architecture workshops, demonstrations, and intricate Proof of Concepts in high-throughput settings.
β’ Design solutions utilizing advanced networking, NVIDIA DOCA, and hardware-accelerated traffic management.
β’ Develop reusable AI Factory reference architectures, technical playbooks, and best practices for DPU-resident service layers.
β’ Represent Neocloud market trends and customer needs to the F5 Product and Engineering teams.
β’ Over 12 years of experience in Solutions Architecture, Solutions Engineering, Platform Engineering, or similar customer-facing technical positions.
β’ Extensive hands-on knowledge in Kubernetes, container orchestration, cloud-native networking (CNIs), and application delivery.
β’ Experience in architecting large-scale cloud infrastructure, especially in high-performance computing (HPC) or AI data center environments.
β’ Advanced understanding of Layer 2-7 networking, which includes BGP, EVPN, and VXLAN.
β’ Familiarity with hardware acceleration technologies, including SmartNICs and DPUs such as NVIDIA BlueField.
β’ Demonstrated ability to engage, challenge, and influence technical stakeholders effectively.
β’ Excellent communication, presentation, and consultative problem-solving skills.
β’ In-depth expertise in Kubernetes edge networking, security, and multi-tenant isolation.
β’ Capability to design and articulate complex physical-to-logical network architectures, including eSwitch hardware offload and SR-IOV.
β’ Technical acumen in AI infrastructure, GPU optimization, and next-generation data center design.
β’ Incentive compensation.
β’ Bonus opportunities.
β’ Restricted stock units.
β’ Comprehensive benefits package.
β’ Reasonable accommodations for candidates.
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