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职位Amazon

Software Dev Engineer II, FireTV Devices, Content & Advertising

Amazon

Software Dev Engineer II, FireTV Devices, Content & Advertising

Amazon

Chennai, TN, IND

·

On-site

·

Full-time

·

1w ago

We are the changing the way customers consume the content on their Fire TV, Fire Tablet, and Alexa devices. Join us to positively impact the lives of millions of Amazon customers and add value to business.

You'll be at the forefront of designing technology that makes entertainment seamless and enjoyable. Our team is reimagining how people interact with content across Fire TV, creating intuitive experiences that become an integral part of daily life. By leveraging advanced technologies and collaborative innovation, you'll solve complex challenges across multiple systems that directly impact how millions of customers enjoy their favourite content.

  • Key job responsibilities
  • Design and implement scalable full-stack technologies supporting millions of global users
  • Collaborate with Product, UX, and engineering teams to define product
  • Develop high-quality software within a dynamic, team-oriented Agile environment
  • Architect solutions that enhance user interaction and entertainment discovery
  • Create innovative customer experiences utilizing Android, cloud services, and frontend/backend technologies

A day in the life
Your day will be filled with exciting technical challenges and collaborative problem-solving. You'll work alongside talented engineers, designing sophisticated software solutions that power user experiences across multiple platforms. Expect to dive deep into Android technologies, cloud services, and full-stack development, transforming innovative concepts into delightful user interfaces that millions will interact with daily.

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
  • Bachelor's degree in computer science or equivalent

Preferred Qualifications

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
  • Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

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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关于Amazon

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+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

3.4

10条评价

工作生活平衡

2.3

薪酬

4.2

企业文化

3.1

职业发展

3.8

管理层

2.7

65%

推荐给朋友

优点

Great benefits and competitive compensation

Learning opportunities and career advancement

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and high turnover

薪资范围

4个数据点

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试经验

6次面试

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 17%

负面 83%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge