Senior QA Engineer (Speech AI & Cloud Modernization)

BrezQ; San Jose (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

BrezQ in San Jose, CA is seeking a Senior QA Engineer to lead QA efforts as legacy applications migrate to AI-driven services.

The role emphasizes hands-on test automation, speech recognition work, and cloud-native testing within an Agile team.

Qualifications

• 10+ years of QA engineering experience.
• Bachelor’s degree in CS, Software Engineering, or related field.
• Experience leading QA in migrations to AI-driven services.

Responsibilities

• Validate accuracy, performance, and usability of speech recognition models across accents and environments.
• Develop and execute test strategies, designs, and automation scripts for complex systems.
• Document and track defects, collaborate with development teams on resolution, and conduct regression testing.
• Conduct end-to-end testing across functional, system, performance, and cloud integration within Agile/Scrum.

Skills

Test automation

Speech recognition

Cloud-native architecture

Agile/Scrum

Education

Bachelor’s degree in CS/Software Engineering or related field

Tools

TestNG

Azure Cloud

JIRA

Job description

Location: San Jose, CA 95138

Position Type: Full Time

We are looking for a Senior QA Engineer to join our team in San Jose, CA, and lead quality assurance efforts as we migrate legacy applications to AI-driven services.

This role is ideal for a quality engineering professional with strong hands-on experience in test automation, speech recognition technologies, and cloud-native architecture.

• Location: San Jose, CA 95138
• Experience Required: 10+ years in QA engineering with a Bachelor’s degree in CS, Software Engineering, or a related field

Key Responsibilities

• Validate the accuracy, performance, and usability of speech recognition models across various accents, dialects, and real-world environments.
• Develop and execute comprehensive test strategies, test designs, and automation scripts for complex systems.
• Document and track defects, collaborate with development teams on resolution, and conduct rigorous regression testing.
• Conduct end-to-end testing across functional, system, performance, and cloud integration layers within an Agile/Scrum framework.

Technical Qualifications

• Strong knowledge of speech recognition APIs (e.g., Microsoft Azure Speech) and machine learning evaluation principles.
• Hands-on proficiency with test automation frameworks, specifically TestNG.
• Solid experience with Azure Cloud environments, deployment models, and cloud application testing.
• Advanced proficiency with JIRA and standard Agile workflows.