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Software Development Engineer - Test II, Prime Tech

Amazon

Software Development Engineer - Test II, Prime Tech

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

1mo ago

必备技能

Python

Java

AWS

If you want to work on one of Amazon's most well-recognized and impactful brand programs and you are passionate about writing code that impacts millions of people every day, then the Amazon Prime Team wants to hear from you!

Have you ever wondered how Amazon manages to delight our Prime members with personalized experiences at such a massive scale in all in real-time? Are you excited to work on building highly scalable and fault tolerant customer-facing applications? Then this is your opportunity!

The Prime team seeks talented engineers who take great pride in both the technical and business contribution of their work. You will be given the chance to have a significant impact on our systems, our business and most importantly, our customers. As a member of the Prime team, you will work closely with the business team to design and implement new features. You will use a variety of core languages and technologies including Java, Python and the latest AWS capabilities!

Basic Qualifications

  • 2+ years of non-internship professional software development testing experience
  • 1+ years of test automation frameworks and tools building experience
  • Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
  • Experience building complex software systems that have been successfully delivered to customers, or experience managing teams

Preferred Qualifications

  • Knowledge of overall system architecture, scalability, reliability, and performance in a database environment
  • Experience with at least one automated test framework like Selenium or Appium

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

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关于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+

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

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

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