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Quality Assurance Engineer II, Amazon Search Relevance Measurement

Amazon - Bengaluru, Karnataka, IND

Posted May 8, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Mental health support
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Childcare support
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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Assessment
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Deadline
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Where they hire

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About this role

Quality Assurance Engineer II, Amazon Search Relevance Measurement Bengaluru, Karnataka, IND How would you like to impact millions of customers around the world using Amazon Search? This team measures the spectrum of Search experiences on Amazon and helps root cause and deep dive escalations from customers and leadership point of view. From highlighting pain points to surfacing abuse across 21 locales, root causing problems in the complex Search stack layers and protecting the customer from compromised experience. We seek to improve customer perception of Search and trust through improved customer comprehension of our search results. We are looking for a passionate QA Engineer to help us enhance the customer journey by performing search troubleshooting whenever an escalation is raised either by leadership or by customers. You will help root cause and improve customer experiences viewed by millions of people per day. You will have the opportunity to learn and be a part of the Amazon retail website ecosystem globally. Our engineers have a diverse range of skills and talents and we can't wait to harness your passion to make us an even stronger team. Key job responsibilities * Our QA Engineers test code at both the service and user level, using a variety of black box, gray box, and white box testing techniques. As a QA Engineer, you will innovate our test strategy across multiple dependencies, locales and device types and implement highly scalable automation to enable Search stack testing across 21 locales. * You will work to be able

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