Technical Lead Software QA Engineer, (AI Software/Platform Team), Hybrid, Milpitas, CA

The application window is expected to close on: 09/29/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team The AI Software & Platform team delivers AI products and platform for all Cisco Secure products and portfolios so businesses around the world can defend against threats and safeguard the most vital aspects of their business with security resilience. Our passion lies in making our customers secure by simplifying security with zero compromise!

Lead the quality strategy for large-scale Generative AI products and platforms, defining how we validate AI services, distributed systems, and end-to-end customer experiences. Design scalable testing and automation approaches across AI pipelines, APIs, user interfaces, federated microservices, and multi-tenant SaaS architectures to improve product quality and release confidence. Establish release-readiness practices using measurable quality gates, test traceability, production-representative environments, and data-driven Go/No-Go criteria. Analyze model degradation, system failures, and test instability to drive root-cause analysis and improve the reliability and resilience of our AI platform. Partner with Engineering, Product, UX, DevOps, Documentation, and Customer Engineering while mentoring QA engineers and advancing quality-first engineering practices across teams.

BS in Computer Science, Engineering, or a related field with 12+ years of relevant experience; or a Master's of Science Degree with 8+ years of related experience, or a PhD with 5+ years of related experience. Experienced designing and implementing test strategies, automation frameworks, and test infrastructure for distributed software systems, cloud platforms, or SaaS products. Python development experience and experience with automated testing frameworks such as Pytest, Playwright, Selenium, or equivalent. Experience validating frontend and backend systems, including REST and/or GraphQL APIs, service integrations, CI/CD pipelines, and distributed microservice architectures. Experience defining release-quality criteria and diagnosing complex system failures using test results, logs, metrics, and other engineering data.

Experience testing Generative AI, AI/ML platforms, AI agents, LLM-powered applications, or other AI-based products, including evaluation of model quality and degradation. Experience designing AI-agent-assisted QA workflows using tools such as Cursor, Claude, Codex CLI, or equivalent, including agent-based or MCP-based test orchestration. Experience testing multi-tenant cloud platforms and managing complex AI test environments involving datasets, model versions, feature flags, Kubernetes, and deployment technologies such as ArgoCD. Demonstrated experience building scalable test frameworks and establishing quality practices across multiple engineering teams, including mentoring QA or software engineers. Knowledge of security, privacy, data governance, or compliance requirements relevant to enterprise SaaS and AI products. Why Cisco?  At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.  We are Cisco, and our power