Senior Solutions Architect - Cloud, WAAP & AI Security

F5; Village of Old Field (NY); On-site; USD 163,000 - 245,000; Full time

Job summary

F5 is seeking a Senior Solutions Engineer to serve as a trusted technical architect and advisor to Fortune 500 enterprises and digital innovators. You will design, champion, and sell modern F5 application delivery and security solutions across multi-cloud, hybrid, and edge environments to achieve sales targets.

You will help secure mission-critical workloads, enable enterprise AI initiatives, and bridge data-center infrastructure with distributed cloud and containerized environments.

Qualifications

• 5+ years in pre-sales engineering or equivalent
• Experience with large enterprise accounts, regulated industries
• Ability to translate technical capabilities into business outcomes

Responsibilities

• Partner with CISOs, Cloud Architects, and Platform Engineering leaders
• Evolve customers' BIG-IP foundations into modern hybrid architectures
• Lead discovery, design validations, and demonstrations for WAAP, Bot Defense, DDoS, and Zero Trust
• Support cloud-native & AI transformation, Kubernetes ingress patterns, and AI pipelines
• Showcase automated workflows using Terraform/Ansible and CI/CD pipelines
• Lead technical evaluation with clear requirements and competitive positioning
• Collaborate with Product and Engineering to inform roadmaps

Skills

Pre-Sales / Technical Consulting

Enterprise Accounts

Architectural storytelling

Cloud experience

AI curiosity

Education

BS/BA in a technical field

Certs (CKA / CISSP)

Tools

Kubernetes (K8)

OpenShift

NGINX

Terraform

Ansible

GitOps

Python/Go/Bash

Job description

F5 is seeking a Senior Solutions Engineer to serve as a trusted technical architect and advisor to Fortune 500 enterprises and digital innovators. You will design, champion, and sell modern F5 application delivery and security solutions across multi-cloud, hybrid, and edge environments to achieve sales targets.

You will help secure mission-critical workloads, enable enterprise AI initiatives, and bridge data-center infrastructure with distributed cloud and containerized environments.