Senior Solutions Engineer

This is a fully remote position, open to applicants in New Jersey, +5 more states.

📋 Description

• Act as a reliable technical architect and strategic consultant for Fortune 500 companies and digital innovators.

• Design, advocate for, and sell F5 application delivery and security solutions across multi-cloud, hybrid, and edge environments.

• Collaborate with CISOs, Cloud Architects, and Platform Engineering leaders to convert business objectives into architectural blueprints.

• Assist enterprise clients in modernizing their BIG-IP foundations into hybrid architectures that encompass data centers, cloud, and containerized environments.

• Oversee technical discovery, design validations, and solution demonstrations for WAAP, Bot Defense, DDoS mitigation, and Zero Trust access.

• Support organizations in modernizing traffic management, Kubernetes ingress patterns, AI inference pipelines, and AI Gateway architectures.

• Showcase Infrastructure-as-Code and CI/CD workflows to integrate NetOps, SecOps, and DevOps.

• Conduct technical evaluations, identify customer priorities, and affirm F5’s unique value proposition.

• Provide insights from customer engagements to Product and Engineering teams to influence distributed cloud and security roadmaps.

• Collaborate with Sales Directors and Enterprise/Commercial Account teams to meet designated sales targets.

⛳️ Requirements

• Over 8 years of experience in pre-sales engineering, systems engineering, technical consulting, or a similar customer-focused systems/solutions architecture role.

• Demonstrated experience in building trust and support with large enterprise accounts, especially in high-compliance or highly regulated industries.

• Capability to link technical capabilities to business outcomes and establish trust with both engineers and executive leaders.

• Familiarity with contemporary edge cloud/WAAP platforms, API gateway technologies, or hyperscaler cloud networking practices.

• Understanding of securing or optimizing emerging AI workloads, LLM inference endpoints, or modern data services.

• Knowledge of Web Application Security, API protection, automated threat mitigation, and Zero Trust principles.

• Proficient in Kubernetes, OpenShift, modern ingress controllers, API gateways, or service mesh technologies.

• Working knowledge of AWS, Azure, Google Cloud, and hybrid connectivity models.

• Experience with Python, Go, Bash, Terraform, Ansible, or GitOps methodologies.

• Strong understanding of enterprise ADCs, traffic management, and security infrastructure.

• Comprehensive knowledge of TCP/IP, HTTP/HTTPS, HTTP/2, SSL/TLS, DNS, and Unix/Linux operating systems.

• Bachelor’s degree in a relevant technical discipline or equivalent practical industry experience.

• Relevant industry certifications are advantageous but not mandatory.

🏝️ Benefits

• Incentive compensation.

• Bonus.

• Restricted stock units.

• Benefits package.

• Reasonable accommodations for candidates.