招聘
Amazon is looking for passionate Graduate Software Development Engineers (SDEs) to join our team ASAP.
Amazon/ AWS offers a unique, inclusive work environment where you’ll be able to work on the A to Z of problems, at scale, for real customers. You’ll join a team solving challenging problems with innovative software solutions, building global software at scale every day and having a ton of fun while you do it.
We are a group of engineers that values diversity and collaboration to help each other succeed as a team. Bring your experiences, perspectives and skills to help build a great shopping experience for customers all around the world. We're looking for developers with a passion for solving challenging problems, learning on the go and working with teammates to have a global impact.
Key job responsibilities
You will own the development of software end to end, from working with stakeholders on requirements through to owning the ongoing operations of the software that you build at scale. You will work with a great, global team to tackle new challenges. You will have the opportunity to experiment and learn from your successes and your failures.
Apply today to join our incredible team building software for our customers around the world. Have fun and build great software!
Basic Qualifications
- You must be in the final semester/ trimester of a university undergraduate or postgraduate degree , or have completed your university studies within the past 24 months of applying (June 2024 - Jun 2026)
- Able to commence a role from Mar to June 2026.
- Enrolled/Completed a degree in Computer Science, Computer Engineering, Information Technology or relevant tertiary institution
- Strong, object-oriented design and coding skills (C/C++ and/or Java preferably on a UNIX or Linux platform) Knowledge of Perl or other scripting languages
- Experience with distributed systems, algorithms, and relational databases
- Experience in optimization mathematics (linear programming, nonlinear optimization)
Preferred Qualifications
- Experience developing in a Linux environment
- Experience developing software on Amazon Web Services (AWS) platforms
- Ability to effectively articulate technical challenges and solutions
- Deal well with ambiguous/undefined problems; ability to think abstractly
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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
PublicAmazon.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
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
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
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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