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Software Development II, Risk Management System

Amazon

Software Development II, Risk Management System

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

2w ago

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
As the 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 strong leaders who have a hunger to learn, are righteous owners, demonstrate superior deep dive and problem-solving skills, communicate clearly, and have a consistent track record of delivery.

Key job responsibilities

  1. Work on systems protecting millions of customers daily
  2. Design, enhance and maintain various microservices that are part of risk evaluation systems
  3. Improve onboarding and operating experience leveraging Gen AI technologies
  4. Reduce time taken and cost of risk evaluation leveraging best of breed industry technologies
  5. Participate in on-call rotation for critical systems
  6. Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical approaches, meet timelines with optimal solutions

Basic Qualifications

  • 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

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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About Amazon

Amazon

Amazon

Public

Amazon.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