Automation QA Engineer: AI-Driven Test Architect

Cisco Systems, Inc.; North Carolina; Hybrid; USD 129,000 - 185,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) match

Paid parental leave

Disability coverage

Life insurance

Paid time off

Job summary

Cisco Systems, Inc. is seeking an Automation QA Engineer to transform regression testing with AI-driven automation across the Circuit platform. You will build end-to-end, API, and performance tests, integrating them into CI/CD and dashboards for continuous quality feedback.

You will lead automation initiatives, mentor peers, and ensure tests are secure, scalable, and production-ready in a hybrid work setup. The role emphasizes collaboration across engineering and product teams.

Qualifications

• 4+ years in test automation and regression framework development.
• Experience with Playwright for E2E/UI automation and Python with Pytest.
• REST API testing experience.
• Understanding of CI/CD pipelines and automated testing best practices.
• Experience with AI-assisted coding tools (Copilot, Cursor, Claude Code).

Responsibilities

• Architect and maintain automated regression and E2E test suites.
• Design and automate REST and GraphQL API tests.
• Plan and execute performance/load testing (k6, JMeter) and report metrics.
• Integrate tests into CI/CD; build dashboards (Grafana, Allure).
• Mentor peers and collaborate with engineering teams to embed automation.

Skills

Playwright

Python

TypeScript

JavaScript

Pytest

Selenium

CI/CD

API testing

Education

Bachelors in CS/related

Masters/PhD (AI/ML)

Tools

GitHub Actions

Jenkins

Docker

Kubernetes

Grafana

JMeter

Job description

Cisco Systems, Inc. is seeking an Automation QA Engineer to transform regression testing with AI-driven automation across the Circuit platform. You will build end-to-end, API, and performance tests, integrating them into CI/CD and dashboards for continuous quality feedback.

You will lead automation initiatives, mentor peers, and ensure tests are secure, scalable, and production-ready in a hybrid work setup. The role emphasizes collaboration across engineering and product teams.