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职位Amazon

Software Development Engineer, Amazon Publishing Foundation

Amazon

Software Development Engineer, Amazon Publishing Foundation

Amazon

Toronto, ON, CAN

·

On-site

·

Full-time

·

1w ago

Passionate about books and reading? Books have a long history at Amazon; books were our first retail product, we reinvented reading with Kindle, and today we enable reading across a multitude of surfaces and content types. The Books Content Demand team helps readers find books and authors through relevant content, search results and recommendations, and innovative shopping experiences. We set audacious goals and are looking for people who can help us transform the way we engage with readers and help them find their next book. As a Software Development Engineer, you will provide both strategic and tactical oversight to build the features and functionality required to have a best in class offering to our authors.
You will be able to show your passion for authors and disrupting the publishing world by building and delivering systems at Amazon scale. You will work on projects that require creative thinking and deep understanding of the problem space while collaborating on product definitions with product teams. You challenge yourself and others to invent solutions using AI advancements to delight our customers. You are a thought leader, backed by the ability to deliver concrete solutions. You hold a high bar not just for your software solutions, but for your peers as well.

We operate as a startup within Amazon, providing great flexibility in product and technology direction. We will face challenging and interesting problems and at times not know the best path forward. Backed with passionate leaders and a strong team culture, we’ll make hard decisions, understand why and change the world together. Come, join us and build the future!

  • Key job responsibilities

  • You will solve ambiguous business problems and map them to elegant technical solutions

  • You will use object-oriented concepts, algorithms and data structures to build systems at Amazon scale

  • You will design, launch, and re-architect multi-tier systems with large amounts of data

  • You will quickly adapt to fast-paced development environment with bias towards simple and extensible code

  • Key job responsibilities

  • You will solve ambiguous business problems and map them to elegant technical solutions

  • You will use object-oriented concepts, algorithms and data structures to build systems at Amazon scale

  • You will design, launch, and re-architect multi-tier systems with large amounts of data

  • You will quickly adapt to fast-paced development environment with bias towards simple and extensible code

About the team
Team owns the foundational framework and services involved in end to end publishing of books from initial negotiation to paying royalties. The primary goal of the team is to provide the best experience to authors in publishing books with Amazon. The foundational systems owned by the team helps improve the quality and efficiency of publishing books. Team's technical ownership areas include resilient distributed systems, generative AI agentic workflows, secure customer facing applications and data warehousing solutions. The team balances the delivery of advanced new solutions with continuous improvement to existing software.

Basic Qualifications

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software programming language

Preferred Qualifications

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent

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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, ON, Toronto - 114,800.00 - 191,800.00 CAD 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