招聘
福利待遇
•401(k) matching
•Professional development budget
•Generous paid time off and holidays
•Flexible work arrangements
必备技能
Python
JavaScript
TypeScript
Amazon’s global fulfillment network enables any merchant to ship items that are ordered on Amazon to any place on earth. There is a complex network of ways in which items move between vendor locations, Amazon warehouses, and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages, each with different attributes and delivery requirements, what results is a highly dense graph of nodes.
We have built a highly respected software engineering team which is focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems. These are large-scale distributed systems handling millions of packages being shipped through the Amazon logistics network.
Your problem solving skills and solutions will benefit customers directly, ensuring Amazon able to meet all its commitments to our customers. Primary responsibilities include troubleshooting, diagnosing and fixing production software issues, developing monitoring solutions, performing software maintenance and configuration, implementing the fix for internally developed code (Perl, Ruby, C/C++, JAVA), performing SQL queries, updating, tracking and resolving technical challenges, build and develop tools which will automate daily operational activities. Responsibilities also include working alongside development on Amazon Corporate and Divisional software projects, updating/enhancing our current software, automation of support processes and documentation of our systems.
This job requires you to constantly hit the ground running and your ability to learn quickly and work on disparate and overlapping tasks will define your success. High Impact production issues often require coordination between multiple Development, Operations and IT Support groups, so you get to experience a breadth of impact with various groups.
The ideal candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, able to juggle multiple tasks at once, work independently and can maintain professionalism under pressure. You must be able to identify problems before they happen and implement solutions that detect and prevent outages. Your ability to accurately prioritize projects, make sound judgments, work to improve the customer experience, and get the right things done would have direct impact on Amazon Transportation's network efficiency.
Basic Qualifications
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- 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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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
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
2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
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