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职位Amazon

Software Development Engineer (Java&AWS), Ring

Amazon

Software Development Engineer (Java&AWS), Ring

Amazon

Madrid, M, ESP

·

On-site

·

Full-time

·

3w ago

Ring is looking for a Software Development Engineer who will help us create the next generation of apps, and services. In this role, you will work as a part of the Ring backend team working closely with a cross-functional team of engineers, and product managers to design, test, learn, and iterate on solutions in a fast-paced environment.

The Ring backend team is responsible for the heart of what drives the experiences our Neighbors use to interact with our doorbells, cameras, and other devices. As an engineer with the Ring backend team, you will get to build low-latency systems with the required uptime of a security system. You will also get to work alongside a talented team, invested in making each other successful, as well as building revolutionary features for our products.

Key job responsibilities

  • Design and document distributed systems and microservices.
  • Implement robust and maintainable code with clear and maintained documentation.
  • Deliver customer value in iterative fashion while working towards longer term systems to solve roadmap goals with increasing efficiency.
  • Communicate status and changes to the work they are responsible and accountable for, keep all stakeholders informed of changes and updates to original plan.
  • Implement test automation on all code implemented through unit testing and integration testing.
  • Leverage generative AI tools and techniques to enhance development productivity, code quality, and system design while maintaining security and compliance standards.

Basic Qualifications

  • Experience (non-internship) in professional software development
  • Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
  • Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
  • Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

Preferred Qualifications

  • Bachelor's degree in computer science or equivalent
  • Experience building complex software systems that have been successfully delivered to customers

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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

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