채용
Benefits & Perks
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Team events and activities
•Parental leave
•Equity
•Healthcare
•Parental Leave
Required Skills
PostgreSQL
Node.js
React
Amazon.com's Risk Management Team has a worldwide reputation as the #1 in e Commerce Fraud Prevention. Trust and Safety of our customers comes first. We thrive on maintaining the highest bar of customer experience while we maintain those tenets. Do you want to join a team that works on internet scale systems, uses cloud computing services, leverages State of The Art technologies and Gen AI tools?
The Core Services team owns the charter of evaluating bad actor risk of all kinds (Buyer, Seller, Brand, Vendor) across entities such as Orders, Returns, Sign-ins, Listings and any event that will be useful to evaluate risky behavior. We build self-service capabilities to experiment and launch new use cases while making it easy to on-board and manage existing ones all over the world. We are the gate keepers of customer trust by preventing bad actors from doing damage to good customers or scamming Amazon. The problems we solve will challenge the best in terms of scale (100s of billion evaluations) and latency (think milliseconds) while operating at the lowest cost
Key job responsibilities
As a Senior Software Development Engineer, you will design, enhance and maintain mission critical systems leveraging best of breed technologies with AI first mindset. Successful candidates will be leaders who can identify high impact opportunities and create durable solutions that scale globally. This role requires expertise in technical leadership, strategic thinking, and a passion for mentoring others.
Basic Qualifications
- Bachelor's degree in computer science or equivalent
- 8+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
- 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Continuous learning mindset and adaptability to new technologies
- Problem-solving abilities with attention to detail
- Track record of thinking strategically, taking ownership, and diving deep into technical problems
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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About 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+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Product Designer L2
0 reports
$163,720
total / year
Base
$65,488
Stock
$81,860
Bonus
$16,372
$114,604
$212,836
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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