Senior QA Engineer (AI & Speech Recognition)

Senior QA Engineer (AI & Speech Recognition)Location: San Jose, CA 95138 (100% Onsite)Role Type: Full-Time / OnsiteExperience Level: 8+ YearsAbout the RoleWe are seeking a Senior QA Engineer to join our team in San Jose, CA, driving the modernization of legacy applications into cutting-edge AI-based services.If you have a strong background in test automation, hands-on experience with speech recognition technologies, and a passion for building high-performing ML-driven systems, we want to hear from you!Key ResponsibilitiesSpeech AI & ML Testing: Test the accuracy, performance, and usability of speech recognition models and systems across diverse accents, dialects, and languages in real-world environments.Test Strategy & Leadership: Lead test design, execution, and strategy to verify complex systems; influence cross-functional teams to meet strict quality standards.Automation & Coverage: Develop scalable automated test suites using frameworks like TestNG to validate cloud and on-premise components against architecture requirements.Defect Lifecycle & Collaboration: Identify, document, and track bugs using JIRA; partner closely with dev teams to execute regression testing and verify resolutions.Agile Execution: Work within Agile/Scrum frameworks to formulate complete test documentation (protocols, metrics, and summary reports).Key RequirementsEducation & Experience: Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of hands-on QA automation experience.Speech Recognition & APIs: Direct experience with speech recognition technologies and APIs (e.g., Microsoft Azure Speech or similar).ML & Cloud Ecosystems: Solid understanding of Machine Learning models applied to speech, along with working knowledge of Azure/Cloud application testing.Frameworks & Tools: Hands-on expertise with TestNG, JIRA, and test automation methodologies for performance, functional, system, and regression testing.Agile Mindset: Proven ability to thrive in fast-paced Agile/Scrum environments and quickly master emerging technologies.