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SDE, International Cobranded Credit Cards

Amazon

SDE, International Cobranded Credit Cards

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

5d ago

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon.

Key job responsibilities

Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.

  • Design and build innovative technologies on distributed systems at incredible scale and speed.
  • Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
  • Design and code the right solutions starting with broadly defined problems.
  • Work in an agile environment to deliver high-quality software

About the team
ICCS Acquisition team owns Cobranded Credit Cards (CBCC) acquisition tech for UK, JP and DE markets. This charter encompasses end to end customer experience to acquire CBCC customers in these markets including discovery, sign-up and activation of Amazon cobranded credit cards. This team owns enablement of different modes of acquisition channels, Amazon hosted application form, KYC integration with bank partners and credit card onboarding into Amazon systems after successful application.

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

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

$1.5T

Valuation

Reviews

3.4

10 reviews

Work-life balance

2.3

Compensation

4.2

Culture

3.1

Career

3.8

Management

2.7

65%

Recommend to a friend

Pros

Great benefits and competitive compensation

Learning opportunities and career advancement

Good teamwork and colleagues

Cons

High pressure and long hours

Poor work-life balance

Toxic work culture and high turnover

Salary Ranges

4 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total per year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview experience

6 interviews

Difficulty

4.0

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 17%

Negative 83%

Interview process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge