トレンド企業

Amazon
Amazon

Work hard. Have fun. Make history.

Software Development Engineer, Alexa AI Developer Tech

職種エンジニアリング
経験ミドル級
勤務地Maharashtra, Marshall Islands, India
勤務オンサイト
雇用正社員
掲載2週間前
応募する

Alexa+ is our next-generation assistant powered by generative AI. Alexa+ is more conversational, smarter, personalized, and gets things done.

Our goal is make Alexa+ an instantly familiar personal assistant that is always ready to help or entertain on any device. At the core of this vision is 'Alexa AI Developer Tech', a close-knit team that’s dedicated to providing software developers with the tools, primitives, and services they need to easily create engaging customer experiences that expand the wealth of information, products and services available on Alexa+.

We build and scale Alexa's core infrastructure that powers millions of customer interactions with sub ms latency. Our team owns mission-critical services including developer artifacts storage, experience lifecycle management, and account linking orchestration. Work on distributed systems that directly impact every Alexa experience and developer worldwide, while solving complex engineering challenges at Amazon scale.

You will join a growing organization working on top technology using Generative AI and have an enormous opportunity to make an impact on the design, architecture, and implementation of products used every day, by people you know.

We’re working hard, having fun, and making history; come join us!

Key job responsibilities
Responsible for the development and maintenance of key system features that support LLM based experiences.
Will work with other team members to collaborate and align on design approaches, prototype new technology and evaluate technical feasibility.
Will work in an Agile/Scrum environment to deliver high quality software against tight schedules.
Will establish architectural principles, select design patterns and then mentor team members on their appropriate application
Deep dive into the end-to-end system architecture and drive long-term alignment with partner teams.

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

Amazon

Public

Amazon.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

10件のレビュー

3.4

10件のレビュー

ワークライフバランス

2.5

報酬

4.2

企業文化

3.0

キャリア

3.8

経営陣

2.7

65%

知人への推奨率

良い点

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

改善点

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

給与レンジ

4件のデータ

L2

L6

L3

L4

L5

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

面接レビュー

レビュー6件

難易度

4.0

/ 5

期間

21-35週間

体験

ポジティブ 0%

普通 17%

ネガティブ 83%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge