채용
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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Amazon 소개

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+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
연봉 정보
4개 데이터
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
면접 경험
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
뉴스 & 버즈
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