채용
Are you interested in building a greenfield product opportunity within Amazon Advertising? Do you want to have direct and immediate impact on millions of customers every day? If you're a self-starter who enjoys designing large-scale distributed and orchestration systems and are intrigued by ambiguous problems, this is a unique opportunity to build a new initiative from scratch alongside some of the best full-stack engineers at Amazon. We pioneer the use of AI-driven full-stack technologies at Amazon scale. Join us today and transform how advertisers run performance campaigns on their first-party data.
Key job responsibilities
In this role, you will develop products primarily using Java for backend and React/JavaScript for frontend, leveraging persistence technologies like DynamoDB, MongoDB (CloudDB), Elasticsearch, and a suite of AWS products for ML pipelines—including Comprehend, Sage Maker, and S3/EMR/Glue/Quick Sight for Python-powered data pipelines and analytics for big data analysis. As an AI-first engineering team, you are encouraged to pair program with state-of-the-art models and tools such as Kiro and Cline. This is an opportunity to think big and create engaging experiences with real-world applications of agentic AI to solve business problems that delight our customers.
You'll have the flexibility to solve problems across frontend, backend, and machine learning applications, collaborating with diverse teams skilled in big data and engineering. This large initiative spans multiple existing and emerging engineering and product teams within the Advertising organization.
A day in the life
You are enthusiastic about helping in defining our products, shaping ambiguous business goals into working software solutions. You are comfortable taking initiative and working across teams in a relatively unstructured environment. You have well-honed, insightful architectural design instincts, and enjoy building simple and elegant systems that will scale to support millions of users. Passion for the customer and their experience with our products is a key requirement for you.
About the team
Our team is responsible for full-stack implementation and integration of new advertising products, which power the ad measurement of online and offline ad conversions. This is an opportunity to get in on the ground floor and help shape our advertising technologies, products and business. Our products enable advertisers to bring their first-party data into amazon eco system, helping advertisers adapt to new trends and consumer behaviors, ultimately ensuring their campaigns continue to resonate with the right audience.
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Palo Alto - 165,200.00 - 223,600.00 USD annually
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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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