Senior Quality Assurance Engineer

Lorven Technologies Inc.; San Jose (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Lorven Technologies Inc. is seeking a seasoned QA engineer to validate speech recognition models across diverse accents and languages. You will lead test design, execution, and regression testing to ensure alignment with requirements and architecture.

Responsibilities include developing robust testing strategies, reporting defects, and collaborating with cross-functional teams to guarantee comprehensive test coverage for cloud-enabled applications.

Qualifications

• Bachelor’s degree required in software engineering/CS or related field.
• Exposure to speech recognition tech and testing required.
• Experience with test automation and cloud-based testing preferred.
• Knowledge of Agile/Scrum methodologies applicable to testing.

Responsibilities

• Test the accuracy, performance, and usability of speech recognition models across accents and languages.
• Lead test design and execution to verify software components per requirements and architecture.
• Develop testing strategies for complex systems and influence teams to meet quality objectives.
• Document and report bugs, collaborate with developers, and perform regression testing.
• Ensure test coverage aligns with business needs across cross-functional teams.

Skills

Speech recognition tech

Test automation (TestNG)

ML for speech systems

Azure/Cloud testing

Testing methodologies

Agile/Scrum practices

Education

Bachelor’s degree in software engineering or computer science

Tools

JIRA

Azure

TestNG framework

Job description

• Test the accuracy, performance, and usability of speech recognition models and systems, ensuring they understand a wide variety of accents, dialects, and languages in real-world environments
• Lead the test design and test execution to verify software components in alignment with requirements and architecture defined
• Develop test strategy to verify complex systems independently; Ability to influence teams to achieve project quality objectives; Knowledge of Agile/Scrum methodologies
• Document and report bugs found during testing, collaborate with the development team for resolutions, and perform regression testing to ensure fixes are effective
• Work closely with cross-functional teams to understand system requirements and ensure test coverage aligns with business needs

Skills / Experience

• Experience and strong knowledge of speech recognition technologies and APIs (Microsoft Azure Speech or similar); Experience with test automation methodologies like TestNG framework
• Familiarity with machine learning models and how they apply to speech recognition systems
• Working knowledge of Azure/Cloud environments, including Cloud services, deployment models, and application testing considerations
• Understands the theory and methods of testing on-prem/Cloud applications and can apply them under minimal supervision while demonstrating - Ability to create and implement testing methods, recording the test results and prepare test metrics; Capability to test all aspects of the product/system including function/component, system, performance, regression and service; Strong analytical skills and ability to formulate test documentation (e.g. testing protocols, test reports) skills
• Ability to work in Agile/Scrum methodologies and development environments; JIRA experience is must.
• Ability to rapidly learn new technologies, processes, and business context while contributing productively in a fast-paced environment
• Bachelor’s degree in software engineering/ computer science or related discipline & 6+ years of relevant work experience