채용
“WARNING: Choking Hazard — small parts. Not for children under 3 years.”
“WARNING: This product can expose you to chemicals including antimony trioxide, which are known to cause cancer or birth defects or other reproductive harm.”
Have you ever seen these warning labels on popular and seemingly innocent products, such as fidget spinners or food containers? As the Buyer Safety Experience team for Amazon Retail worldwide, we aim to raise the bar when it comes to educating and empowering consumers about product safety. Our team is responsible for the complete end-to-end safety experience for buyers — from the warnings you see on the product detail pages (and how to turn them into useful, actionable information), to making safer product recommendations targeted to each individual consumer’s needs, to informing consumers of recalled products and preventing them from being delivered to their doorstep.
As a founding engineer of the Buyer Safety Experience India team, you’ll be able to build the groundwork and influence its direction for the years to come. Our work cuts across various disciplines — from delivering an awesome user experience via great UI/UX, to building massively scalable distributed systems to support the most high-traffic pages on Amazon worldwide, to analytical and feedback systems which give us data-driven customer insights, to using GenAI to educate customers about safe shopping choices and safe product use. If you have a passion for consumer-facing applications, and are obsessed with customer experience, we want you!
Key job responsibilities
As one of first engineers of the Buyer Safety Experience team in BLR, you will help build and grow a two-pizza team, and work closely with cross-functional stakeholders worldwide across Program and Product. Your role will be heavily customer-obsessed, building solutions to ensure Amazon is Earth's safest place to shop.
- A day in the life
- Hiring and mentorship: Help build a two-pizza team from scratch, ensuring high standards for engineering excellence to influence SDEs in the years to come
- Deeply understand technical decisions, influence long-term architecture
- Build a strong foundation and ensure a high bar for design and coding best practices
- Work closely with international stakeholders across our VP-level Trustworthy Shopping Experience org, in addition to TPM and PM-T
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
- 3+ years of building complex software 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
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.
총 조회수
1
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
비슷한 채용공고
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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