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职位Amazon

System Development Engineer, Amazon Payment Products

Amazon

System Development Engineer, Amazon Payment Products

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

3w ago

必备技能

Python

Java

AWS

Rust

Ruby

Linux

The Amazon 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
Primary responsibilities include troubleshooting, diagnosing and fixing production software issues, developing tools, automation and monitoring solutions, performing software maintenance and configuration, implementing the fix for internally developed code (JAVA and Ruby with Rails), updating, tracking and resolving technical challenges and improving operational excellence and readiness of the systems.
Some of the key job functions
Provide support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services

Work on operations and maintenance driven coding projects, primarily in Java, Python, or shell scripts,AWS, web technologies projects.

Software deployment support in staging and production environments

Develop tools to aid operations and maintenance

System and Support status reporting

Ownership of one or more Digital products or components

Customer notification and workflow coordination and follow-up to maintain service level agreements

Work with support team for handing-off or taking over active support issues and creating a team specific knowledge base and skill set

Basic Qualifications

  • Experience in automating, deploying, and supporting infrastructure
  • Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
  • Experience with Linux/Unix

Preferred Qualifications

  • Experience with CI/CD pipelines build processes

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

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