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Quality Assurance Manager III, Alexa Endpoints

Amazon

Quality Assurance Manager III, Alexa Endpoints

Amazon

Pune, MH, IND

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Generous paid time off and holidays

Team events and activities

Parental leave

Learning

Parental Leave

Required Skills

React

Python

JavaScript

A Quality Assurance Manager in the Alexa ecosystem plays a critical role in driving product quality and team performance across multiple technical domains. The QAM will work closely with Product Management, Software Development Engineering, User Experience Design, and Customer Support groups to understand product vision, requirements, and customer usage models while developing comprehensive test strategies.
Key job responsibilities
Key responsibilities include setting the QA team's technical vision and roadmap, developing and tracking project schedules, and managing a team responsible for validating software functionality, stability, and performance. The successful Quality Assurance Manager must have a strong customer focus and be obsessed with continuous quality improvement, with particular expertise in creating world-class automation for feature testing and regression.
The ideal candidate will demonstrate the ability to develop and drive high-level strategies while simultaneously taking a hands-on approach to implementation. They must be experienced in working within cross-disciplinary organizations and capable of driving strategy to implementation in a fast-paced, dynamic environment. Critical skills include the ability to:
1. Develop comprehensive test strategies
2. Create and track project schedules
3. Build and lead high-performing QA teams
4. Implement advanced automation frameworks
5. Ensure software functionality and performance meet high-quality standards.

Basic Qualifications

  • 1+ years of quality assurance engineering experience
  • 3+ years of quality assurance teams management experience
  • Experience managing manual testers
  • Experience managing automation testers
  • Experience testing web technologies and back-end services
  • Experience identifying and reviewing test plans, test cases and testing results with a strong QA background

Preferred Qualifications

  • Experience preparing quality metrics and effectively engaging with stakeholders to set and drive quality goals
  • Experience transforming QA programs from manual to automation
    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