Why This Role Stands Out
This hybrid QA Engineer role offers a unique opportunity to contribute to cutting-edge AI-driven application modernization, allowing you to hone your automation and testing expertise within a collaborative environment. You'll thrive here if you're a detail-oriented, technically proficient engineer passionate about ensuring the quality of complex systems and influencing project success. Embrace this chance to grow your skills and make a significant impact.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
San Jose, CA, United States
Posted
Yesterday
Machine LearningScrumAgileAzureJiraTestNG
Job Description
Job Title: QA Engineer
Location: San Jose, CA (Need only locals)
Duration: FTE
is in search of a seasoned and proficient 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.
KEY AREAS
OF RESPONSIBILITY: What you will do:
Technical 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.
Document and report bugs found during testing, collaborate with the development team for resolutions, and perform regression testing to ensure fixes are effective.
Ability to influence teams to achieve project quality objectives.
Work closely with cross-functional teams to understand system requirements and ensure test coverage aligns with business needs.
Knowledge of Agile/Scrum methodologies.
PREFERRED QUALIFICATIONS: What you will need
(strongly desired):
Technical Skills:
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.
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.
Good communication skills and ability to work in Agile development environments.
JIRA experience is must.
Working knowledge of Azure/cloud environments, including cloud
services, deployment models, and application testing considerations.
Ability to rapidly learn new technologies, processes, and business context while contributing productively in a fast-paced environment.
MINIMUM
QUALIFICATIONS: What you will need (must have):
EDUCATION REQUIREMENTS
Bachelor s degree in software engineering/ computer
science or related discipline & 10+ years of relevant work experience.
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