AI-Driven Performance Test Engineer

020 Cisco Systems, Inc.

San Jose (CA)

Hybrid

USD 155,000 - 223,000

Full time

14 days+
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Job summary

Cisco Systems, Inc. in San Jose is seeking a Performance Test Engineer to architect and execute testing across UI, API, and back-end layers, ensuring scalable, reliable performance. You will diagnose bottlenecks in Linux, AWS, and networking while embedding guardrails into CI/CD pipelines. The role emphasizes AI-enabled test workflow innovation and scalable no-code harnesses.

The team values data-driven decision making, ownership, and proactive optimization for Cisco’s global CX platforms.

Qualifications

  • Experience with performance testing methodologies (load, stress, endurance, spike, and benchmarking) and tools like JMeter, NeoLoad, or LoadRunner.

Responsibilities

  • Architect and execute comprehensive testing suites—including load, stress, and endurance benchmarks—across UI, API, and back-end layers to ensure maximum system scalability.
  • Diagnose bottlenecks within Linux, enterprise networking, and AWS environments and embed automated performance guardrails into CI/CD pipelines.
  • Innovate testing workflows using AI tools and agentic frameworks to accelerate test case generation and create scalable no-code harnesses.
  • Translate granular system metrics and logs into actionable optimization strategies guiding architectural improvements across the engineering organization.

Skills

Performance testing
Python/Java
Linux
AWS
JMeter
NeoLoad
LoadRunner
Networking basics
UI performance

Tools

JMeter
NeoLoad
LoadRunner
Splunk
Dynatrace
AppDynamics
New Relic
Grafana
AWS
Linux

Job description

Cisco Systems, Inc. in San Jose is seeking a Performance Test Engineer to architect and execute testing across UI, API, and back-end layers, ensuring scalable, reliable performance. You will diagnose bottlenecks in Linux, AWS, and networking while embedding guardrails into CI/CD pipelines. The role emphasizes AI-enabled test workflow innovation and scalable no-code harnesses.

The team values data-driven decision making, ownership, and proactive optimization for Cisco’s global CX platforms.

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