Description Alexa Trust Sensitive Content Intelligence team leverages natural language understanding, machine learning, and big data to help Alexa identify sensitive content. Alexa, the cloud-based voice assistant powering Amazon's Echo devices, enables customers to interact with technology through natural voice commands. As we expand Alexa's capabilities, we need dedicated QA professionals to ensure an exceptional user experience. This is an exciting opportunity to join a fast-paced, innovative team at the forefront of voice AI technology. If you're passionate about quality assurance and want to help shape Alexa's future, we encourage you to apply. Key job responsibilities • Execute test cases for testing software builds on 1P and 3P products and report bugs accurately. • Perform Regression, Build Acceptance Testing, Bug Bashes/ Adhoc Testing, and repetitive testing exercises to ensure build quality. • Create and execute the test plan in detail and derive black-box test cases for features. • Follow testing procedures and guidelines for new builds/releases. • Use software tools for data capture and bug reporting, preferably JIRA. • Install/ configure software builds, run automation scripts, and retrieve logs using provided tools and command line prompts. • Raise all issues related to test case execution in the clarification portal and resolve them as per SLAs. • Exhibit excellent communication, strong organizational skills, and attention to detail. • Thrive in a fast-paced, highly collaborative, dynamic work environment. A day in the life We provide testing support for devices with in-built Alexa AI. Quality Assurance Technicians (QATs) at Amazon are exceptional individual contributors capable of executing test cases from start to finish with minimal assistance. QATs are responsible for understanding the product in detail, writing test plans and updating the test management tool with test execution results. About the team Our team provides comprehensive testing support for devices featuring in-built Alexa AI and leverages natural language understanding, machine learning, and big data to help Alexa identify sensitive content. Quality Assurance Technicians (QATs) at Amazon are exceptional individual contributors who execute test cases from start to finish with minimal assistance. Responsible for understanding products in detail, updating the test management tool with execution results, and ensuring the highest quality standards, QATs thrive in a collaborative environment. We continuously improve our processes, adapt to new challenges, and emphasize auditing existing procedures to maintain and enhance our testing framework. Dedicated to ensuring Alexa provides a safe and trustworthy user experience, we apply advanced technologies and methodologies such as functional, unit, integration, system, and performance testing to validate and enhance Alexa's capabilities. Our commitment to quality assurance, emerging technologies, and proactive problem-solving shapes the future of voice-based user experiences. Basic Qualifications - Graduate in Technology, Computer Applications, or Computer Science. - 1+ years of experience in software quality assurance, focusing on user-facing applications and/or embedded systems. - Familiarity with agile development methodologies and sprint planning. - Strong written and verbal communication skills for effective collaboration with technical and non-technical stakeholders. - Knowledge of various testing methodologies (e.g., functional, unit, integration, system, performance). - Excellent problem-solving and analytical skills to quickly identify and triage software defects. - Passion for emerging technologies and a desire to help shape the future of voice-based user experiences. - Flexibility to work across multiple shifts and all seven days of the week. - Capability to adapt to changing requirements and deadlines. - Proven track record of managing multiple tasks and priorities in a fast-paced environment. Preferred Qualifications - Prior experience in testing consumer-facing software products, devices, or websites is a plus. - Basic knowledge of and experience using command line prompts. - Experience auditing existing testing procedures. - Familiarity with test automation tools and scripting languages. - Experience with performance and load testing tools.