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Systems Development Engineer, Amazon Business

Amazon

Systems Development Engineer, Amazon Business

Amazon

Hyderabad, TS, IND

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Healthcare

401(k)

Parental Leave

Mental Health

Healthcare

401k

Parental Leave

Mental Health

Required Skills

Python

C

C++

Java

Ruby

PowerShell

Are you excited to use Generative AI to improve how we develop and support business problems and software solutions? Are you passionate about driving innovation and discovering new ways to optimize systems? Do you thrive on solving technical and operational challenges? Join us on Amazon Business! We are seeking talented Systems Development Engineers to help support, sustain, and evolve our solutions for business customers using GenAI!

Amazon Business (business.amazon.com) aims to improve how buying and selling happens between businesses and suppliers. We provide business customers everything they love about Amazon, for work. We are focused on building a unique shopping experience for business users and business sellers with access to hundreds of millions of products worldwide, business-only selection, business and quantity pricing, bulk buying experience, and much more. We've grown a lot in the 10+ years since our launch and become one of the most promising opportunities within Amazon. Go ahead and read about us on any of your favorite media outlets!

We are looking for Systems Development Engineers who will be instrumental in building and evolving our software infrastructure across a diverse ecosystem of technologies and applications. In this role, you'll lead smaller projects independently while contributing to larger, strategic initiatives as part of a team. As a Systems Development Engineer, you'll design and implement robust infrastructure solutions, develop applications, and create automated processes that scale. We're particularly focused on leveraging Generative AI to accelerate development velocity, enhance code quality, and transform how we approach problem-solving through intelligent automation and AI-assisted collaboration.

Basic Qualifications

  • Experience in automating, deploying, and supporting infrastructure
  • Experience with automating and simplifying team development, test, and operations processes
  • Experience coding, scripting, automating in at least one language (e.g., Python, C, C++, Java, Ruby, or PowerShell)

Preferred Qualifications

  • Experience with CI/CD pipelines build processes
  • Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
  • Experience with distributed computing, programs and systems

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