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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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Amazonについて

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+
従業員数
Seattle
本社所在地
$1.5T
企業価値
レビュー
2.9
10件のレビュー
ワークライフバランス
2.8
報酬
3.7
企業文化
2.5
キャリア
2.3
経営陣
2.1
35%
友人に勧める
良い点
Good pay and compensation
Strong benefits package
Flexible scheduling options
改善点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
給与レンジ
4件のデータ
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0件のレポート
$108,330
年収総額
基本給
$43,332
ストック
$54,165
ボーナス
$10,833
$75,831
$140,829
面接体験
10件の面接
難易度
3.7
/ 5
期間
21-35週間
内定率
20%
体験
ポジティブ 10%
普通 10%
ネガティブ 80%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
ニュース&話題
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