招聘
“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.
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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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