QA Software Engineer NC Hybrid

The application window is expected to close on: 09/28/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . 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.

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.

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 reports (Grafana, Allure) and communicate quality metrics, risk assessments, and defect trends to engineering leadership. Cross-Functional Leadership: Act as a "Team Captain" for automation initiatives—defining standards, mentoring peers, and collaborating with development, product, and UX teams to embed automation-first testing into the core development lifecycle.

Bachelor's degree with 4+ years, Master's degree with 3+ years, or PhD with 1+ year of related experience in Computer Science, AI/ML, or a related technical field. Experience in