채용
필수 스킬
Machine Learning
Are you looking for an opportunity that will help revolutionize the way big data sets are cataloged, discovered and searched for one of the world’s largest financial data systems? Are you interested in innovating and building platforms that use machine learning to identify anomalies and provide insights across billions of financial transactions? Does the prospect of working with the top engineering talent get you charged up? If so, Amazon Finance Technology (Fin Tech) is for you!
Amazon Finance Technology is seeking a talented Software Development Engineer to work on Fin Tech Treasury. In this role, you will build treasury solutions that manage bank balances, cash flows, and cash-impacting transactions, supporting financial movements across all Amazon businesses. You will build a next-generation, horizontally scalable platform that will transact hundreds of billions of dollars each year as Amazon grows into a multi-trillion-dollar company. The platform supports banking and financial services capabilities that enable cash flow tracking and payment execution across Amazon’s global operations. You should be comfortable working with highly abstracted, extensible systems in a multi-tenant, microservice-oriented architecture.
As a Software Development Engineer in Finance Technology, you will be responsible for driving implementation decisions, delivering functional components, and mentoring junior engineers to develop logical & maintainable software that meets high standards of quality and abstraction.
This is an exciting opportunity for a seasoned engineer. In this position, you will play a major role in the architecture, design, implementation and deployment of large-scale and complex big data applications. You will push your design and architecture limits by inventing and simplifying complex problems. You have strong verbal and written communication skills, are self-driven, and can deliver high quality results in a fast-paced environment. You will work with Amazon engineering and business teams across the globe in planning, designing, executing and implementing this new platform.
This is a brand-new platform we are building. We are currently in the stage of defining the architecture and high-level design. So, this is your chance to build this platform from scratch.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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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총 지원 클릭 수
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모의 지원자 수
0
스크랩
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비슷한 채용공고
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
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
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
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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