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Software Development Engineer, 3P Seller Tools and Gen AI Solutions, ISS

Amazon

Software Development Engineer, 3P Seller Tools and Gen AI Solutions, ISS

Amazon

Hyderabad, TS, IND

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Annual team offsites

Learning and development stipend

Flexible PTO policy

Health, dental, and vision coverage

Parental leave program

Wellness benefits

Required Skills

SQL

Airflow

Python

Amazon's International Seller Services (ISS) org is seeking a Software Development Engineer on a team working on transformative products and tools to help 3P Sellers. We are developing innovative products that leverage generative and agentic AI to transform workflows for Sellers and AMs. Our aim is to help 3P Sellers in every aspect to help sellers improve selection, grow and expand their business worldwide.
Key job responsibilities
You will be a high performing software engineer, building internal tools and external solutions powered by cloud computing and generative AI for 3P Sellers. This role offers an opportunity to work at the forefront of agentic AI and distributed systems, building new products and services from the ground up and enhancing existing tools.
A day in the life
In a typical day, you will be working with a team of engineers working on a variety of products ranging from AI Assistant that accelerates the workflows and experiences for 3P sellers. You will be working with Products Managers and business teams worldwide to create and execute a roadmap of compelling user experiences. A closer partnership with other engineering teams and applied science team will be very critical. You will be extremely curious about learning and incorporating the latest developments in generative AI to develop products that deliver agentic AI solutions.
About the team
The team sits in Amazon's International Service Org that creates tools, products and agentic AI solutions for 3P Sellers and Account Managers worldwide. The products will include a mix of solutions that are common across Sellers in multiple countries and solutions customized for Sellers in each country.

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