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Amazon
Amazon

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SDE II, AI Automation, Prime Video

职能机器学习
级别中级
地点Bengaluru, KA, India
方式现场办公
类型全职
发布2周前
立即申请

Prime Video is changing the way people watch movies, TV shows, and live sports, offering a vast library of content to a global audience. We are constantly innovating to enhance the customer experience, from how content is discovered and consumed to how we produce and deliver it at scale. Our mission is to be the premier entertainment destination, and we achieve this through a relentless focus on the customer, a passion for storytelling, and a commitment to technical excellence.

We are forming a new organization within Prime Video to redefine our operational landscape through the power of artificial intelligence. As a Software Development Engineer on this team, you will play a key role in building the next generation of business automation. You will collaborate with senior engineers, product managers, and scientists to design, develop, and deploy the agentic AI solutions that will power this transformation. This is an opportunity to get in on the ground floor of a new initiative, work with complex distributed systems, and see your contributions directly improve how Prime Video operates for our customers worldwide.

Key job responsibilities
Design, implement, and deploy high-quality, scalable, and reliable services for our automation platform.
Collaborate with other engineers, product managers, and applied scientists to deliver on our product roadmap and solve customer problems.
Utilize your problem-solving skills to tackle technical challenges in a large-scale distributed environment.
Participate in the full software development lifecycle, including design reviews, code reviews, and operational support, while adhering to engineering best practices.
Work backwards from business needs to build features and systems that directly impact our internal customers and improve efficiency.

This role offers a unique opportunity to shape the future of one of Amazon's most exciting businesses through the application of AI technologies. If you're passionate about leveraging AI to drive real-world impact at massive scale, we want to hear from you.

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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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

10条评价

3.4

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.0

职业发展

3.8

管理层

2.7

65%

推荐率

优点

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

薪资范围

4个数据点

Junior/L3

L2

L6

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Data Scientist L4

0份报告

$181,968

年薪总额

基本工资

-

股票

-

奖金

-

$154,672

$209,264

面试评价

6条评价

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