招聘
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Parental Leave
•Healthcare
•401k
•Equity
•Parental Leave
Required Skills
Manual testing
Automation testing
Scripting
Test planning
Do you enjoy solving complex problems and troubleshooting products? Are you passionate about developing test strategies, finding and tracking bugs to resolution, and innovating on behalf of customers? Do you want to be a part of a fast-paced, ambiguous environment and contribute to the creation of next generation products?
We are looking for an experienced, self-motivated, and detail-oriented QA engineer with a proven ability to deliver results in a fast-paced, complex hardware and software environment.
The challenges Quality Assurance Engineers solve at Amazon are big and impact millions of customers, and products around the world. Our path is not always simple, so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon – someone who is excited by the idea of creating new products, features, and services from scratch while managing ambiguity and the rapid pace of our company
Come chart your own path at Amazon.
- Key job responsibilities
- Develop test strategies, test plans, and automated test cases
- Build test infrastructure/environment to support manual and automation test execution
- Use technical knowledge to create, execute, and maintain test plans and automation involving one or more product components and/or features
- Create and maintain automation scripts, and execute automated test cases.
- Debug/Troubleshoot test failures/automation failures and isolate bugs to help developers research the root cause of defects
- Perform initial defect triage and root cause analysis, and escalate roadblocks/risks
- Improve test mechanisms and best practices
About the team
The Amazon Emerging Devices Software (EDS) is part of the Amazon Devices team. We design and engineer high-profile consumer electronics, including the best-selling Echo devices. Our portfolio also includes innovative devices like Amazon Echo buds, Echo Frames and Echo Auto. What will you help us create next?
Basic Qualifications
- 4+ years of quality assurance engineering experience
- Experience in manual testing
- Experience in automation testing
- Experience scripting or coding
- Experience developing high quality test plans, test designs, test strategies, and test execution
Preferred Qualifications
- Experience with Android, iOS or other mobile application development or testing
- Experience with at least one automated test framework like Selenium or Appium
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
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
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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