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Software Dev Engineer, Ring Core Product

Amazon

Software Dev Engineer, Ring Core Product

Amazon

Taipei, TPE, TWN

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Comprehensive health, dental, and vision insurance

Competitive salary and equity package

Flexible work arrangements

Generous paid time off and holidays

Professional development budget

401(k) matching

Healthcare

Equity

Flexible Hours

Learning

Required Skills

Python

PostgreSQL

JavaScript

Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle?
At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world's most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand.
Join us in revolutionizing home security with Ring camera products! You'll develop software for next-generation embedded systems that protect millions of homes worldwide, while leveraging cutting-edge AI agents and Generative AI tools that are transforming how software is built. Work at the forefront of the AI-driven development revolution, mastering emerging technologies and methodologies that will define the future of software engineering. This is your opportunity to gain hands-on experience with tomorrow's development practices today.
The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years.
If this sounds interesting to you, apply and come chart your own path at Amazon.
By applying to this position your application will be considered for all locations we hire in Taiwan including majority in Taipei. To qualify, applicants should have earned a Bachelor's, Master's or Doctor's degree, and graduated from 2024 to 2026.
Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications.
Key job responsibilities
Leverage cutting-edge AI agents and Generative AI tools that are transforming software development workflows, utilizing AI-assisted coding, automated testing, and intelligent optimization to accelerate development for Ring camera products. Master the next generation of software development practices and position yourself at the forefront of the AI-driven development revolution
Collaborate with world-class professionals in a global, multi-national environment, partnering with experienced cross-disciplinary Amazonians across different countries to bring innovative Ring camera products to market
Develop and optimize software components for embedded systems that power Ring cameras, contributing to scalable solutions in a large distributed computing environment while gaining exposure to emerging technologies that will define the future of IoT and smart devices
Deliver high-quality software in an agile environment through rapid iteration, continuous improvement, and close collaboration with team members

Basic Qualifications

  • Speak, write, and read fluently in Mandarin
  • Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related field at time of application.
  • Graduate between 2024 - 2026.
  • Curiosity and eagerness to learn AI/ML technologies and explore how they can enhance software development practices
  • Familiarity with programming languages such as C/C++
  • Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis

Preferred Qualifications

  • Experience or coursework in AI/ML, Generative AI, or hands-on familiarity with AI-powered development tools
  • Knowledge of Python or scripting languages commonly used with AI tools and automation
  • Previous technical internship(s), especially in embedded systems or IoT domains
  • Demonstrated passion for exploring and adopting emerging technologies to improve development efficiency and code quality
  • Experience with distributed, multi-tiered systems, algorithms, and relational databases
  • Understanding of embedded systems, real-time operating systems (RTOS), or Linux
    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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About 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+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Cybersecurity Analyst L2

0 reports

$234,132

total / year

Base

$93,653

Stock

$117,066

Bonus

$23,413

$163,892

$304,372

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge