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Quality Assurance Engineer, Emerging Device Software

Amazon

Quality Assurance Engineer, Emerging Device Software

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

3w ago

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

Amazon

Public

Amazon.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