採用
必須スキル
Java
We are constantly making Alexa the best personal assistant in the world. The Alexa Subscriptions Growth team in Hyderabad is hiring talented software engineers to build features for customer safety and subscriptions for Alexa. Join a team doing innovative work. Make a direct impact to customers, show measurable success, and build with the latest artificial intelligence systems.
If you are holding out for an opportunity to:
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Make a huge impact as an individual
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Be part of a team of smart and passionate professionals who will challenge you to grow every day
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Solve difficult challenges using your expertise in coding elegant and practical solutions
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Create applications at a massive scale used by millions of people
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Work with artificial intelligence systems to deliver real experiences
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And you are experienced with…
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Writing highly efficient, testable, quality code written with Java, C++, or C# (or another excellent OO language)
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Application scaling, resiliency, availability, and failover
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Researching implementations to find the best possible experience for a customer
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Taking ownership and doing whatever it takes to get the job done
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And you constantly look for opportunities to…
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Innovate, simplify, reduce waste, and increase efficiencies
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Use data to make decisions and validate assumptions
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Automate processes otherwise performed by humans
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Learn from others and help grow those around you
...then we would love to chat!
A day in the life
If you are looking for to solve unique problems in Subscriptions & Safety space and influence tech architecture and make wider impact, this is the team for you! We are looking for an SDE to drive system design and development of services in a strategically significant domain. We are proud to boast a low ops load, and a tech architecture focused on micro-services in NAWS and single responsibility as key tenets.
About the team
The Alexa Subscription growth team is responsible for building and expanding the subscriptions for paid features in Alexa. The teams also owns features for Emergency assist subscription. Features like Emergency Alerts, connecting those in need of help to emergency services, Activity monitoring, AI based anomaly detection are a few examples.
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
- 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 · Marketing L2
0件のレポート
$127,325
年収総額
基本給
$50,930
ストック
$63,663
ボーナス
$12,733
$89,128
$165,523
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
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