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Software Dev Engineer Intern, OpenSearch, 2026 Shanghai

职能前端
级别实习
地点Shanghai, 31, CHN
方式现场办公
类型实习
发布1个月前
立即申请

必备技能

Python

Java

JavaScript

TypeScript

React

AWS

Kotlin

Machine Learning

职位:SDE上海
· 毕业时间:2026年10月 - 2027年7月之间毕业的应届毕业生
· 入职日期:2026年5月及之前
· 实习时间:保证一周实习4-5天全职实习,至少持续6个月
· 工作地点:上海

· 投递须知:
1 填写简历申请时,请把必填和非必填项都填写完整。提交简历之后就无法修改了哦!
2 学校的英文全称请准确填写。中英文对应表请查这里(无法浏览请登录后浏览)https://docs.qq.com/sheet/DVmdaa1BCV0RBbnlR?tab=BB08J2

Amazon Web Services (AWS) Open Search team is recruiting engineering interns for multiple specializations. Open Search is an open-source search and data analysis suite designed to build solutions for data-intensive applications, featuring high-performance, developer-friendly tools with powerful machine learning and data processing capabilities. It provides flexible data exploration, enrichment, and visualization features to help customers discover valuable information from complex data

Key job responsibilities
During this internship, you will have the opportunity to:

  • Software Development

  • Develop high-quality, secure, maintainable code using Java/Kotlin and React/TypeScript/JavaScript

  • Design scalable, fault-tolerant distributed storage, indexing, and query systems

  • Build distributed systems for high-speed, large-scale predictions

  • Understand Lucene search engine principles and applications

  • AI Integration

  • Apply artificial intelligence and machine learning techniques to boost search relevancy and performance

  • Contribute to our agent framework by advancing context management and skill service capabilities that enable automatic intelligent data analysis and optimize user interactions.

  • Development Lifecycle

  • Practice product development, deployment, security review, and release processes

  • Participate in requirement discussions and propose technical solutions

  • Learn AWS cloud services

  • Collaboration

  • Work with global development teams on code development and review

  • Collaborate with cross-disciplinary teams to design and launch innovative products

Basic Qualifications

  • Currently enrolled in Bachelor's or Master's degree in Computer Science, Software Development, Machine Learning, Mathematics, or related majors
  • Graduation date: November 2026 - July 2027
  • Available for minimum 6-month internship
  • Proficient in Java/Python/C++/JavaScript/TypeScript
  • Solid foundation in algorithms and data structures
  • Strong English reading and writing skills

Preferred Qualifications

  • Previous technical internship or project experience
  • Experience with agent frameworks
  • Experience with distributed systems, algorithms, and relational databases
  • Experience in optimization mathematics (linear programming, nonlinear optimization)
  • Verbal proficiency in English

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

L2

L6

M3

M4

M5

M6

L3

L4

L5

L2 · Product Designer L2

0份报告

$163,720

年薪总额

基本工资

$65,488

股票

$81,860

奖金

$16,372

$114,604

$212,836

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