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TEMPLATE (remove Posting title prior to publication) The application window is expected to close on: for U.S. ONLY, insert deadline date>. 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. Your Impact As a Software Quality Assurance Engineer for our AI Software & Platform team, you will play an essential role in ensuring the quality, performance, and reliability of our Generative AI products. Your focus will be on executing robust testing processes, collaborating with cross-functional teams, and contributing to the development of automation strategies to validate the seamless operation of our AI services. In this role, you will work closely with the QA leadership and engineering teams to implement quality assurance activities across the product lifecycle. You will support the design and execution of tests, monitor quality metrics, and help maintain the overall standard of excellence for our AI Products. Your contributions will help deliver dependable, cutting-edge products that meet and exceed customer expectations. Design and develop comprehensive test plans and strategies for complex, large-scale AI-driven features and systems. Address unique challenges in building effective test strategies for enterprise-grade AI platforms and software applications. Collaborate closely with multi-functional teams, including data scientists, machine learning engineers, and software developers, to achieve shared quality objectives. Design, implement, and continuously improve test automation frameworks for AI pipelines, APIs, and user interfaces to enhance QA team productivity and efficiency. Develop and maintain test automation tools for validating both AI models (e.g., model performance, accuracy, and robustness) and platform components (e.g., backend systems and UI). Define, develop, and manage complex test environments, including datasets and model versions, to support diverse AI testing scenarios. Enhance test automation frameworks to ensure they are developer-friendly, robust, and scalable, with support for detailed reporting, easy debugging, and seamless integration with CI/CD pipelines, test case management systems and bug tracking systems. Analyze complex issues, such as model performance degradation or system failures, and lead root cause analysis to improve reliability. Partner with engineering, product management, UX, documentation, DevOps, and customer engineering teams throughout the product lifecycle, from requirements capturing to release. Set a strong example of quality-first practices and technical excellence in testing AI systems and platforms. Demonstrate effective communication skills in multi-functional interactions, ensuring clarity when discussing AI testing challenges and quality outcomes. Minimum Qualifications: 8+ years of experience in QA roles, with a focus on enterprise-scale systems or high-growth environments. Proficiency in programming, with expertise in Data-structures. Familiarity with and ability to adapt to modern tools and frameworks such as Pytest, Playwright, Selenium or similar. Practical experience using backend and frontend testing frameworks, with a passion for improving test automation coverage and infrastructure. Strong diagnostic and debugging abilities, paired with experience in creating and maintaining automation pipelines and test utilities. Demonstrated success in collaborating with cross-functional teams to address issues, implement solutions, and ensure quality deliverables. Excellent communication and interpersonal skills, with a team-oriented approach and a commitment to ownership and accountability. Bachelor’s or master’s degree or equivalent experience in computer science or a related field is required. Preferred Qualifications: Bachelor’s or master’s degree or equivalent experience in computer science Prior experience working with generative AI technologies or AI/ML platforms Experience designing and building advanced test frameworks from the ground up, prioritizing scalability and performance. Knowledge of developing test strategies for microservice-based applications. #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Show more Show less
