채용
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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Amazon 소개

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+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
3.4
10개 리뷰
워라밸
2.5
보상
4.2
문화
3.0
커리어
3.8
경영진
2.7
65%
친구에게 추천
장점
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
단점
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
연봉 정보
4개 데이터
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
면접 경험
6개 면접
난이도
4.0
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 17%
부정 83%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
뉴스 & 버즈
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