QA Software Engineer NC Hybrid

Cisco Systems, Inc; North Carolina; Hybrid; USD 105,000 - 150,000; Full time

Job summary

Cisco Systems, Inc is seeking an Automation QA Engineer to drive automated testing across the Circuit platform. You will own end-to-end and API test automation, with emphasis on scalable frameworks, AI-assisted test generation, and CI/CD integration to ensure reliability across releases.

The role is hybrid, demanding proficiency in Playwright, Python, TypeScript/JavaScript, Selenium, and performance testing at scale. You will collaborate with security and QA teams to maintain high standards.

Qualifications

• Experience building automated regression and end-to-end test suites using Playwright, Python/Pytest, and Selenium.
• Proficiency with API testing including REST and GraphQL test suites.
• Ability to design, implement, and maintain scalable CI/CD pipelines and test dashboards.

Responsibilities

• Automated Regression & E2E Testing: Architect, build, and maintain automated regression and E2E test suites for the Circuit platform using Playwright, Python/Pytest, and Selenium.
• API Testing: Design and automate REST and GraphQL API test suites for functional correctness, contract validation, and performance.
• Performance & Load Testing: Plan and execute load, stress, and soak tests; track latency and throughput metrics.
• AI-Driven Test Automation: Use AI-assisted coding tools to generate and maintain regression suites for features; ensure security compliant changes.
• AI Application & Agent Validation: Validate AI/LLM features, stability, and end-to-end agent workflows across reasoning and action layers.
• CI/CD Integration & Reporting: Integrate tests into CI/CD pipelines and build dashboards for continuous quality feedback.

Skills

Playwright

Python

TypeScript/JavaScript

Selenium

API testing

CI/CD

Test automation

Tools

GitHub Actions

Jenkins

Job description

The application window is expected to close on: 10/29/2026

Meet the Team

Our team is part of the Cisco AI and Automation portfolio, responsible for the "Circuit" platform—the central AI engine that powers productivity and process automation for all of Cisco. We are a rapidly expanding, high-impact group dedicated to building the vehicle for AI-driven business transformation. We operate at the intersection of applied research and production, ensuring our technology is not only cutting-edge but also optimized for performance, reliability, and functional quality for our 80,000+ monthly users.

As an Automation QA Engineer, you are the guardian of that functional quality—owning the automated testing ecosystem that keeps Circuit reliable, scalable, and production-ready across every release. This is a hybrid position.

Your Impact

As an Automation QA Engineer, you will drive the transformation of our regression testing ecosystem, moving beyond manual processes to build AI-driven, fully automated test suites for both new and legacy features. You will design and own end-to-end (E2E), API, and performance test automation that ensures the Circuit platform continues to meet Cisco's high standards for functional quality and performance.

You will build and maintain scalable test frameworks, integrate them into CI/CD pipelines for continuous quality feedback, and leverage AI-assisted coding tools (such as Cursor, Copilot, or Claude Code) to generate and maintain tests—while rigorously validating that AI-generated artifacts are stable, correct, and compliant with security standards. This is a high-visibility role where your ability to automate functional quality and reduce technical debt directly ensures Circuit remains a reliable vehicle for process automation across Cisco.

Responsibilities

Automated Regression & E2E Testing: Architect, build, and maintain comprehensive automated regression and end-to-end test suites for the entire Circuit platform using Playwright (TypeScript/JavaScript), Python/Pytest, and Selenium, replacing manual QA with scalable automation.

API Testing: Design and automate REST and GraphQL API test suites covering functional correctness, contract validation, error handling, and performance—including validation of AI/model-serving endpoints under concurrent load.

Performance & Load Testing: Plan and execute load, stress, and soak tests using k6 or JMeter, ; track response-time percentiles (p95/p99), throughput, error rates, and AI-specific metrics such as Time to First Token (TTFT) and inter-token latency.

AI-Driven Test Automation: Use AI agents and AI-assisted coding tools (Cursor, Copilot, Claude Code) to generate and maintain regression suites for new and legacy features; read and judge the stability of auto-generated code and ensure it does not violate security standards before it is merged.

AI Application & Agent Validation: Develop testing approaches for AI/LLM features—validating model response quality, behavior consistency (stability testing), and end-to-end AI agent workflows across both the reasoning and action layers.

CI/CD Integration & Reporting: Integrate all automated tests into CI/CD pipelines (GitHub Actions, Jenkins, or equivalent) for continuous validation; build dashboards and