채용
Want to build systems that enable Selling Partners to grow their business and delight Amazon customers? As a Software Development Engineer (SDE) II in the Selling Partners Promotions organization, you will build new user experiences that allow both external and internal users to create and manage their Deals.
Come join us as we build the new architecture that unifies 3rd Party promotions sourcing and build rich, easy to use experiences using modern front end and back end technologies and design principles. Ideally, you are a self-starter with a passion for technology, enthusiasm for collaboration, and desire to learn and be curious. You will be part of a wider organization that has well-defined processes (Quarterly Planning, Office Hours, Feature Intake, etc) in place to help minimize churn so our engineers can focus on what they do best - building systems at scale for our Selling Partners and our customers.
Key job responsibilities
Responsibilities include, coding, design documentation, process and quality of service improvements. Successful candidates will have a broad array of experiences, exceptional design skills, an excellent ability to solve problems, good communication skills, a desire to be a key technical contributor, a consistent track record of delivery, and who can prioritize well. The promotions sourcing business requires creative engineering balanced with high quality and customer focus.
- Drive the architecture and technology choices that enable a world-class experience
- Utilize various metrics sources to deliver rapid iterations of software features
- Solve difficult problems with elegant and practical code
- Develop solutions to solve complex problems
- Raise the bar on quality, consistency, maintainability, efficiency, security and all the other things that make great software
- Be a champion for the user: Create functional and engaging features, and ensure their needs always come first
- Mentor & grow engineers across the team, leading by example and insisting on high standards
A day in the life
The software you will be responsible for will require a breadth of technical development knowledge (E.g., distributed real-time, schedulers, data orchestration, frontend). Daily work will involve interacting with engineers, product stakeholders and managers, working on creative algorithms, building large-scale systems, and mentoring and guiding junior engineers.
About the team
We are a team of fun loving people who are passionate about technologies and intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes we do get to build a really cool applications, but we also think a big reason for that is the inclusive and welcoming culture we try to cultivate every day. We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers; someone who will help us amplify the positive & inclusive team culture we’ve been building.
Basic Qualifications
- 2+ 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
- Experience building complex software systems that have been successfully delivered to customers
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, AZ, Tempe - 143,700.00 - 194,400.00 USD annually
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
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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
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