Jobs
We are looking to hire a Quality Assurance Engineer, responsible for the quality of Amazon Payments.
We are looking for a passionate, experienced QA Engineer to join our team and help us reimagine how to drive quality, testing, and efficiency through our product lifecycle. You are expected to have industry-leading technical abilities that enable you to significantly improve product quality, and a deep curiosity to dive into new technologies. The test plans and automated tests you build should expose defects from component and feature integration level to end-to-end customer interactions. We want a QA engineer excited to work across software, hardware, cloud, algorithms, and computer vision, helping us to deliver exciting new lovable products to market.
As a QAE, you will innovate our QA processes and develop repeatable and automatable QA systems. You will work with Product Managers, QAEs, SDETs, and SDEs on our internal technology teams to understand features and technical implementation. You will identify use cases, create test plans, define test strategies, and create manual and automated test cases in order to report to stakeholders on the quality and reliability of our products. You will leverage and evangelize Gen AI and quality best practices. You will own creating and driving the test strategy and enforcing design for testability.
Key job responsibilities
You will join the team of hands-on, proactive, self-motivated and seasoned software quality assurance professionals. In this role, you will:
- Create test strategies, test plans and test cases
- Review user interfaces for conformity and functionality
- Efficiently execute test cases across all functional areas of our products
- Review product user interface for conformity to design guidelines
- Find, isolate, document, regress and track bugs through resolution
- Interpret and report testing results and be a vocal proponent for quality in every phase of the development process
- Work with software development engineers to understand the overall technical architecture and how each feature is implemented
- Engage in code reviews to ensure testability and unit test designs
- Develop automated tests, scripts, and tools to enable CI/CD
Basic Qualifications
- 4+ years of quality assurance engineering experience
- Experience in manual testing
- Experience in automation testing
- Experience scripting or coding
- 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
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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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
$1.5T
Valuation
Reviews
2.9
10 reviews
Work-life balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a friend
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
4 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total per 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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