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Software Development Engineers , Amazon Japan Store Tech

Amazon

Software Development Engineers , Amazon Japan Store Tech

Amazon

Tokyo, 13, JPN

·

On-site

·

Full-time

·

3w ago

Required skills

Python

Java

TypeScript

SQL

AWS

Go

Rust

Machine Learning

Do you want to directly impact how millions of Japanese customers receive their Amazon deliveries? Do you enjoy solving complex optimization problems that reduce cost while preserving — or improving — the customer experience?

The Japan Delivery Experience (JP DEX) team is part of Amazon's Japan Store Tech organization, based in Tokyo. We own the logic that filter, group, default, and split delivery options across the Amazon Japan retail website — from browse and search pages through checkout. Our work touches every customer order flowing through Amazon.co.jp.

We focus on consolidation initiatives — finding ways to intelligently combine shipments and optimize delivery scheduling to reduce delivery costs without compromising speed or customer satisfaction. Our systems operate at massive scale, processing delivery option decisions for millions of transactions.

We're looking for an SDE-I who is curious, thinks big, and wants to own real customer-facing systems from day one. You'll work on distributed systems that directly influence how delivery options are presented to customers, building and operating services that handle high-throughput, low-latency decision-making in a complex logistics domain.

Key job responsibilities
Your primary responsibilities are designing, developing, testing, deploying, and maintaining distributed software solutions independently. These solutions range across technical stacks and domain, from web applications and backend services, to cloud architecture and machine learning. You will work directly with technical and business teams, locally and worldwide, to understand business problems and design solutions.

A day in the life
An average day may look like:

  • Attend daily standup either in person or remotely to give status updates
    • Work on a technical design document to drive consensus between the internal team and stakeholders
    • Spend uninterrupted time developing software
    • Learn about a new cloud technology

Basic Qualifications

  • Completed Bachelor's or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields
  • Graduated within the last 24 months
  • Demonstrated experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
  • Demonstrated experience in Data structures implementation or Basic algorithm development or Object-oriented design principles

Preferred Qualifications

  • Experience with one or more of the following:
  • o AI tools for development productivity
  • o Cloud platforms (preferably AWS)
  • o Database systems (SQL and NoSQL)
  • o Contributing to open-source projects
  • o Version control systems
  • o Debugging and troubleshooting complex systems
  • Strong problem-solving and analytical skills
  • Excellent written and verbal communication skills
  • Demonstrated ability to learn and adapt to new technologies quickly
  • Basic understanding of software development lifecycle (SDLC)

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

$1.5T

Valuation

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

4 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total per year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

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