招聘
Are you ready to shape how hundreds of millions of customers engage with the world's most customer-centric company?
The Diamonds team at Amazon is on an audacious mission: building the world's largest loyalty program. We've successfully launched in India—one of the fastest-growing digital economies—and we're now scaling rapidly across emerging markets worldwide.
This isn't just another loyalty program. This is loyalty reimagined at Amazon scale.
Why Diamonds?
Diamonds isn't just another team at Amazon—it's where ambition meets impact at an extraordinary scale. As the Core Platform team, we sit at the heart of what is set to become the world's largest loyalty program, powering seamless points transactions across Amazon's suite of tier-1 services. Having successfully launched in India, we're now embarking on an exciting journey to scale across emerging markets worldwide, bringing our loyalty experience to billions of potential customers.
What makes Diamonds truly special is the depth and breadth of technical challenges we tackle every single day. Our engineers work across a wide range of state of the art technologies, building and operating highly scalable, low-latency systems designed for the mobile-first generation of digital consumers. From real-time transaction processing to intelligent fraud detection, from distributed caching strategies to cross-platform synchronization—our deep tech problems are the kind that push boundaries and redefine what's possible.
Key job responsibilities
Architect & Build highly available, fault-tolerant distributed systems that process loyalty transactions at massive scale
Innovate on deep technical problems—real-time points processing, fraud detection, cross-platform synchronization, and more
Design mobile-first experiences that delight customers across diverse markets and network conditions
Own end-to-end delivery—from ideation to deployment to operations—with full accountability for your services
Collaborate with world-class engineers, product managers, and scientists to define the future of customer engagement
Scale solutions from India's 500M+ internet users to billions across emerging markets
Mentor and grow alongside talented teammates in a culture of continuous learning
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
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
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
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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