招聘
Amazon has come a long way since opening on the World Wide Web in July 1995. Today, we operate retail websites in multiple countries across geographies, offering products in many categories (books, media, digital, electronics etc.) worldwide, and we still like to work hard, have fun and make history! The Amazon.com brand has become synonymous with a superior level of convenience, selection, low prices, and customer service.
Amazon’s global fulfillment network enables any merchant in any of the geography ship items that you order on Amazon, to any place on earth. There are a variety of ways in which we can acquire items from vendors to our warehouses, ship items from one location to another, and several intermediate locations through which the package travels before reaching the customer. There are millions of such packages, each with different attributes, and different delivery requirements. What results is a highly dense graph of source, intermediate and destination nodes, with arcs between them representing possible paths for packages, with different costs and times along each arc. Accounting for all these constraints, and maximizing the number of shipments shipped, while minimizing cost, providing a variety of delivery options and maximizing delivery performance in the Amazon Delivery stations.
We are looking for an experienced Quality Assurance Manager with a development and/or QA background to direct the activities of the existing quality team. As a Quality Assurance (QA) leader, you will build and lead a diverse team of QA engineers to solve technical problems, develop and execute roadmap of test frameworks & infrastructure. You will be working with an assorted set of stakeholders, both internally at Amazon, and with some of our partners. You will drive the adoption of GenAI in the team and automate the quality process in the team using GenAI. You will influence the roadmap and technology decisions that will drive future products and features that directly affect our growth in this critical space. A successful candidate is a motivator and an experienced leader who can hire high-caliber engineers and collaborate across multiple organizations, with the ability to influence senior leadership.
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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关于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+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪资范围
4个数据点
Junior/L3
M3
M4
M5
M6
Mid/L4
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Product Manager L5
0份报告
$187,921
年薪总额
基本工资
-
股票
-
奖金
-
$159,732
$216,110
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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