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QAE II, Amazon payments Team

Amazon

QAE II, Amazon payments Team

Amazon

Bangalore, KA, IND

·

On-site

·

Full-time

·

2w ago

Are you passionate about shaping the future of digital financial services while upholding the highest standards of security and customer trust? We are seeking a talented and detail-oriented Quality Assurance Engineer with a genuine enthusiasm for quality and emerging technologies. In this role, you will leverage the latest technology trends to drive automation and enhance process efficiencies. Aligned with our Mobile First strategy, you will take ownership of testing across multiple platforms—including mobile web, mobile apps, and desktop browsers—while continuously improving testing processes through innovative automation solutions..

We drive end-to-end quality assurance across Amazon Pay's lending portfolio—encompassing Amazon Pay Later, Amazon Pay CBCC Card, and Credit Card Installments—while also safeguarding the Amazon Pay products against Fraud & Abuse.

In this role, you will:

  • Be responsible for manual and automated testing of features across various platforms including web and mobile.
  • Own the planning, development and execution of test plans and test cases.
  • Review user interfaces for conformity and functionality.
  • Help develop, improve, and employ testing strategies and techniques.
  • 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 (SDE) to understand the overall technical architecture and how each feature is implemented.

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

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

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

$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