Senior AI & Cloud Security Solutions Architect

F5; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

F5 in Singapore is seeking a Principal Solution Engineer with deep expertise in F5 technologies to design and implement scalable, secure application delivery and security solutions, leveraging BIG-IP and Distributed Cloud, with attention to AI and containerized deployments.

You will advise clients, translate business requirements into technical architectures, support pre-sales, and mentor teammates while keeping up with AI trends and cloud-native practices.

Qualifications

• Bachelor's degree required or equivalent experience.
• 7+ years in designing and implementing network or application delivery solutions.
• Deep F5 BIG-IP expertise including LTM/GTM/APM/AWAF.
• Experience with NGINX, Kubernetes, and cloud environments.

Responsibilities

• Serve as SME for F5 solutions including BIG-IP, NGINX, and Distributed Cloud.
• Design end-to-end application delivery and security architectures with AI workloads.
• Lead client engagements, translate requirements into technical architectures.
• Create detailed solution designs and implementation plans for AI-enabled deployments.
• Support pre-sales with presentations, demos, and proposals.
• Collaborate with engineering during deployment and maintain architectures.
• Stay current with F5 products, AI/cloud trends, and best practices.
• Mentor junior team members and contribute to thought leadership.

Skills

F5 BIG-IP

NGINX

Kubernetes

Python

Ansible

Terraform

AI/ML concepts

Cloud fundamentals

Networking fundamentals

Communication skills

Education

Bachelor’s degree in computer science, engineering or related field

Tools

Distributed Cloud

Docker

Job description

F5 in Singapore is seeking a Principal Solution Engineer with deep expertise in F5 technologies to design and implement scalable, secure application delivery and security solutions, leveraging BIG-IP and Distributed Cloud, with attention to AI and containerized deployments.

You will advise clients, translate business requirements into technical architectures, support pre-sales, and mentor teammates while keeping up with AI trends and cloud-native practices.