採用
必須スキル
Python
Java
Ruby
Linux
The Amazon Consumer Payments supports multiple payment products and processes millions of transactions every day across numerous countries and payment methods. Over 100 million customers and merchants send tens of billions of dollars moving at light-speed through our systems annually, and use our products on and off Amazon.
We build systems that provide various payments features and process payments at an unprecedented scale, with accuracy, speed, and mission-critical availability. We innovate to improve customer experience across the globe, with support for currency choice, pay using installments, pay with reward points, in-store payments, pay on delivery, credit and debit payments, seller disbursements, gift cards, and many new exciting and challenging ideas are in the works.
If you are excited about the opportunity to learn and work on large scale distributed systems, enjoy trouble shooting and solving complex problems, consider the opportunities at the Bangalore center. Come challenge yourself in our team-oriented atmosphere, and watch yourself grow with one of the fastest growing areas of the Amazon e-commerce product and services platform.
- Key job responsibilities
- Experience with Linux/Unix
- Experience with CI/CD pipelines build processes
- Build scalable technology solutions using modern software engineering practices, including APIs, microservices, and cloud infrastructure to support high-volume advertising operations.
- Collaborate with cross-functional teams including product managers, business stakeholders, and engineering partners to translate business requirements into technical specifications and deliverable systems.
- Apply operational excellence principles by developing monitoring, alerting, and automated testing frameworks that ensure system reliability and performance at scale.
- Troubleshoot and resolve complex technical issues across distributed systems, identifying root causes and implementing sustainable solutions.
- Contribute to AI/LLM automation initiatives by developing autonomous processing capabilities for campaign management and integrating Generative AI models into production workflows.
- Drive continuous improvement through code reviews, documentation, and knowledge sharing while maintaining Amazon's high engineering standards and accessibility requirements.
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
Basic Qualifications
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience with Linux/Unix
- Experience with CI/CD pipelines build processes
Preferred Qualifications
- Experience with distributed systems at scale
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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Amazonについて

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+
従業員数
Seattle
本社所在地
$1.5T
企業価値
レビュー
2.9
10件のレビュー
ワークライフバランス
2.8
報酬
3.7
企業文化
2.5
キャリア
2.3
経営陣
2.1
35%
友人に勧める
良い点
Good pay and compensation
Strong benefits package
Flexible scheduling options
改善点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
給与レンジ
4件のデータ
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0件のレポート
$108,330
年収総額
基本給
$43,332
ストック
$54,165
ボーナス
$10,833
$75,831
$140,829
面接体験
10件の面接
難易度
3.7
/ 5
期間
21-35週間
内定率
20%
体験
ポジティブ 10%
普通 10%
ネガティブ 80%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
ニュース&話題
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