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Software Development Engineer II, Identity Services

Amazon

Software Development Engineer II, Identity Services

Amazon

Pune, MH, IND

·

On-site

·

Full-time

·

1w ago

Identity Services owns the systems that enable authenticating and identifying every Amazon customer in the world. Every aspect of the Amazon global business depends on our systems to know who the customer is, and if our systems are not up and running, the company stops. We balance keeping our systems fast, scalable and performant (no exceptions!) with rapidly delivering great features for Amazon customers and our developer partners. In short, we get to own and innovate on a critical customer experience while also supporting nearly every other business at the company; the best of both worlds

We are looking for builder who are passionate about building secure and intuitive customer experiences and who love the challenge of building performant and robust systems at scale. Our systems manage hundreds of millions of customer records, and respond to millions of transactions per minute. If you have an entrepreneurial spirit, know how to deliver, are innovative, and long for the opportunity to build solutions to challenging problems then we want you as a Software Development Engineer for Amazon's e Commerce Platform Identity Services group.

  • Key job responsibilities
  • Design and implement highly scalable authentication systems that can handle millions of transactions per minute
  • Develop secure, performant solutions that protect customer identities across global platforms
  • Collaborate with cross-functional teams to integrate identity services into complex technical ecosystems
  • Create and maintain robust, efficient code that meets the highest standards of reliability
  • Continuously improve system performance, security, and user experience

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 Video Games Industry (supporting title Development, Release, or Live Ops) 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

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