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Benefits & Perks
•Team events and activities
•Professional development budget
•Parental leave
•Generous paid time off and holidays
•Learning
•Parental Leave
Required Skills
Python
TypeScript
PostgreSQL
The Quality Assurance Engineer (QAE) role in Alexa Endpoints team focuses on testing next-generation AI-powered features across multiple device platforms, with a deep emphasis on core Alexa SDK implementation for iOS and Android. The role involves comprehensive testing of Alexa+ capabilities, which include advanced conversational interactions and generative AI-powered assistive technologies.
Key job responsibilities
Key testing responsibilities will span critical endpoints including Android, iOS, and other device platforms. The QAE will be responsible for developing and maintaining test suites that cover voice interactions, text interactions, mobile-specific flows, and cross-platform testing requirements.
Basic Qualifications
- 4+ years of quality assurance engineering experience
- Experience in automation testing
- Experience in manual testing
- Experience as QA lead on medium to large sized projects
Preferred Qualifications
- Experience with at least one automated test framework like Selenium or Appium
- Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality
- Experience with Android, iOS or other mobile application development or testing
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
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Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
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Compensation
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Culture
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2.3
Management
2.1
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Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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