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트렌딩 기업

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채용Amazon

QAE -II, Recipient Experience

Amazon

QAE -II, Recipient Experience

Amazon

Hyderabad, TS, IND

·

On-site

·

Full-time

·

1w ago

Do you want to influence the experience of millions of customers? Do you want to work in a collaborative environment that impacts products from across the company? The Recipient Experience (REX) team owns and build customer-facing experiences which help us realize our mission of providing a perfectly executed, transparent, and flexible delivery experience that customers LOVE. Your solutions will provide the data needed to anticipate and resolve customer's questions before they are asked. At Amazon, we are known for our customer obsession. We need your ideas and your ability to take initiative, innovate, and produce results as we continuously improve the customer experience.

You will have the opportunity to work with a wide variety of technologies from front-end UI (both web and device) to back-end distributed web services to device software. You will own the quality of major deliverables end-to-end, working closely with multiple engineers and teams to execute them. Scaling, latency, and customer experience are top priorities as the business grows. This is a high visibility team where you will make a direct positive impact on customer experience and the business. If you enjoy broadening your technical skills and working in an environment that thrives on creativity, experimentation, and innovation, then this is the job for you!

Quality Assurance Engineers test code at the user level, both manually and with automated tools. Our QA Engineers are not pure black box testers; they test at the appropriate level and are able to understand software internals, debug problems using log files, and write automated tests with scripts and/or user-level automated tools. QA Engineers work with Software Development Engineers, and Business Owners to understand technical implementation of features. QA Engineers will also work with groups such as Product Management, User Interaction, and Customer Support to understand customer usage models and develop test plans and suites that approximate real-world environments and regression tests and driving the software development process towards quality focused methodologies, always seeking to avoid defects or find them earlier in the process.

  • Key job responsibilities
  • Create test plans and test cases
  • Review user interfaces for conformity and functionality
  • Efficiently execute test cases across all functional areas of our products
  • Review product user interface for conformity to design guidelines
  • 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 to understand the overall technical architecture and how each feature is implemented
  • Collaborate across teams to enhance total product quality
    Our ideal candidate:
  • Enjoys working side by side with partners, colleagues and teams to solve problems
  • Is highly effective and thrives in a dynamic environment with multiple, changing priorities
  • Passionate for QA and test automation
  • Is comfortable with proactive outward communication and technical leadership

A day in the life
Quality Assurance Engineers at Amazon test applications and products at the user level and code level, both manually and with automated tools. QAEs at Amazon are excellent individual contributors capable of taking up tasks from start to completion with minimal help. You will work with Software Development Engineers to understand features and technical implementation. You will also work with groups such as Product Management, UX designers to understand customer usage models and develop test plans and suites that approximate real-world environments and regression tests driving the software development process toward quality-centric methodologies. You will develop automated tests to help fasten testing cycles and release faster to our customers. In this role, you will be responsible to deliver manual/automated solutions to test customer facing features.

Basic Qualifications

  • 4+ years of quality assurance engineering experience
  • Experience in manual testing
  • Experience in automation testing
  • Experience scripting or coding
  • 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.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Amazon 소개

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+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

2.9

10개 리뷰

워라밸

2.8

보상

3.7

문화

2.5

커리어

2.3

경영진

2.1

35%

친구에게 추천

장점

Good pay and compensation

Strong benefits package

Flexible scheduling options

단점

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

연봉 정보

4개 데이터

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0개 리포트

$108,330

총 연봉

기본급

$43,332

주식

$54,165

보너스

$10,833

$75,831

$140,829

면접 경험

10개 면접

난이도

3.7

/ 5

소요 기간

21-35주

합격률

20%

경험

긍정 10%

보통 10%

부정 80%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge