招聘
If you are looking for high impact, high growth opportunity with interesting engineering challenges in a fast-paced environment, this is the role for you. We have a number of untapped high impact engineering and business opportunities with high criticality for Amazon.
What is the opportunity?
You will build a suite of systems critical for invoice generation for carriers partnering with Amazon transportation businesses in shipping our packages. You embrace latest technologies to create invoices with large number of transactions in an automated manner. This requires building scalable systems that are far from trivial and involves deep business understanding, tech acumen.
Who we are?
We, Transportation Financial Systems (TFS) are responsible for building technologies that support financial aspects for Amazon transportation. Amazon’s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world-class customer experience – from checkout to shipment tracking to delivery. Our software systems include services that handle tens of thousands or requests per second and make decisions to pay billions of dollars a year and ensure that transportation's liabilities and revenues are correctly accounted for. With rapid expansion into new geographies, innovations in supply chain, delivery models and customer experience, increasingly complex transportation network, ever-expanding selection of products and growing number of shipments worldwide, we have an opportunity to build software that scales not only with volume but also with the business models. We leverage cutting-edge technologies in big data, machine learning, real time analytics and high volume, low latency, high availability services.
TFS is 100+ tech team across eight different platforms. We deal with problems of scale. Billions of dollars of spend is automated through our platforms and pipelines. We are a very fast growing org and we aggressively ramping up our team across all engineering roles. This position offers the opportunity to collaborate with our global product teams and customers across the world and other tech teams in the organization as we raise the bar in delivering innovation.
Our engineering team is completely based out of India, and we build global solutions.
We have a large product and tech roadmap and are significantly ramping our tech team to meet the next level of product requirements for Trans Finance.
Basic Qualifications
- Experience in more than one major programming language (C++, Java, or related) and at least one scripting language (Perl, Python, or equivalent)
- Knowledge of SQL, Perl, Unix/Linux, Visual Basic or other programming languages
- Experience writing clean code for basic data structures and algorithms
Preferred Qualifications
- Experience with AWS, networks and operating systems
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
2.5
薪酬
4.2
企业文化
3.0
职业发展
3.8
管理层
2.7
65%
推荐给朋友
优点
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
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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