招聘
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?
Amazon Points Platform was originally built for the Japan marketplace and has since expanded globally, delivering cash-back rewards across regions and marketplaces worldwide. It powers programs including Amazon Points, Kindle Unlimited Rewards, Prime Young Adult Cash Back, and Amazon Business Rewards.
The technical complexity here is real — every reward transaction requires real-time processing and redemption at checkout, backed by rigorous financial accounting, and each marketplace brings its own business model and regulatory rules. A compact team owns a large fleet of systems, which means every engineer has end-to-end ownership and disproportionate influence.
We're also pioneers of AI in how we build and operate software. From design to coding to operations, we use AI agents to turn requirements directly into code changes, autonomously monitor services, and triage issues. AI here isn't a talking point — it's core to how we develop, operate, and iterate. You'll be both a user and a creator of these tools.
If you want to solve genuinely hard platform problems at worldwide scale while pioneering AI-native software engineering, this role offers rare depth, real ownership, and a chance to shape how AI-native engineering is done at scale.
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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关于Amazon

Amazon
PublicAmazon.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
3.4
10条评价
工作生活平衡
2.3
薪酬
4.2
企业文化
3.1
职业发展
3.8
管理层
2.7
65%
推荐给朋友
优点
Great benefits and competitive compensation
Learning opportunities and career advancement
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and high turnover
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
6次面试
难度
4.0
/ 5
时长
21-35周
体验
正面 0%
中性 17%
负面 83%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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