AI-Driven Performance Test Engineer for CX Platform

Cisco; Milpitas (CA); Hybrid; USD 155,000 - 256,000; Full time

Job summary

Cisco’s Customer Experience (CX) organization is seeking a Performance Test Engineer to architect and run end-to-end performance tests across UI, API, and backend services in hybrid environments. You will analyze Linux and AWS-backed systems, embed AI-assisted test automation into CI/CD, and help optimize architectures for scale.

This role offers collaboration across global teams and the opportunity to push testing into AI-enabled workflows.

Qualifications

• Bachelors + 5 years of related experience, or Masters + 3 years, or PhD + 0 years, or equivalent related work experience.
• Experience with performance testing tools (JMeter/NeoLoad/LoadRunner) and UI performance auditing.
• Proficiency in Python or Java for automation and test development.
• Experience with Linux/Unix, AWS, and log monitoring tools like Splunk.
• Strong understanding of core networking concepts.

Responsibilities

• Architect and execute comprehensive testing suites across UI, API, and back-end layers.
• Diagnose bottlenecks in Linux, AWS environments and integrate guardrails into CI/CD.
• Innovate testing workflows using AI tools and no-code harnesses.
• Translate metrics and logs into optimizations guiding architectural improvements.
• Collaborate with cross-functional teams to ensure scalable, reliable platforms.

Skills

Performance testing

Python/Java scripting

Linux/Unix

AWS

Splunk

Networking basics

Education

Bachelor's degree in a related field

Tools

JMeter

NeoLoad

LoadRunner

Job description

Cisco’s Customer Experience (CX) organization is seeking a Performance Test Engineer to architect and run end-to-end performance tests across UI, API, and backend services in hybrid environments. You will analyze Linux and AWS-backed systems, embed AI-assisted test automation into CI/CD, and help optimize architectures for scale.

This role offers collaboration across global teams and the opportunity to push testing into AI-enabled workflows.