Senior QA Engineer

Vidorra Consulting Group; San Jose (CA); On-site; USD 110,000 - 150,000; Full time

Job summary

Vidorra Consulting Group in San Jose, CA is seeking a Senior QA Engineer to join our team, helping modernize legacy applications by migrating them to AI-based services. The ideal candidate is passionate about quality, with a strong background in test script automation and a track record of delivering high-quality software.

You will design and execute tests for speech recognition models and cloud-enabled components, develop testing strategies, and work with Agile teams using JIRA.

Qualifications

• Experience with speech recognition technologies and APIs (Azure Speech or similar).
• Strong automation testing background and TestNG framework knowledge.
• Familiarity with ML concepts as applied to speech systems.

Responsibilities

• Test accuracy, performance, and usability of speech recognition models across accents and languages.
• Lead design and execution of tests to verify components per requirements and architecture.
• Develop testing strategies for complex systems and influence teams on quality objectives.
• Document and report bugs, perform regression testing, and ensure fixes are effective.
• Collaborate with cross-functional teams to align test coverage with business needs.

Skills

Speech recognition tech

Test automation

Machine learning familiarity

Azure/Cloud environments

Agile/Scrum

JIRA

Education

Bachelor's degree in software engineering or computer science

Tools

TestNG

Azure

Job description

San Jose, CA 95138 Senior QA Engineer to become a part of the team, contributing significantly to the effort of modernizing legacy applications through their migration to AI based services. The ideal candidate will have a passion for quality, a strong technical background in automation of test scripts, and a proven track record of success in delivering high-quality software products.

San Jose, CA 95138 Senior QA Engineer to become a part of the team, contributing significantly to the effort of modernizing legacy applications through their migration to AI based services. The ideal candidate will have a passion for quality, a strong technical background in automation of test scripts, and a proven track record of success in delivering high-quality software products.

Responsibilities

• 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