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Software Development Engineer, GMT Catalog

Amazon

Software Development Engineer, GMT Catalog

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

1w ago

The Challenge: Grocery Management Tech (GMT) is looking for passionate and innovative Software Development Engineers that have a heart for Nourishing People and the Planet to join our Agentic Engineering Services team. This is an opportunity to be part of a team launching innovative AI products from the ground up to advance the retail grocery industry.

The Team: Our vision is to create an agentic proactive catalog defect monitoring, prevention and resolution system for our business, product and operations teams.

The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment. As a GMT Software Development Engineer, you will help tackle a diverse landscape of technical challenges. We are an early-stage initiative, and you will play an active role in translating business requirements into concrete systems and prototyping concepts in partnership with Amazon, technology leaders within the team and across the business.

Key job responsibilities
You will design, develop and deploy reliable distributed solutions that operate at Amazon scale. You will work with a variety of core languages and technologies including Java, Linux, and AWS services. You will tackle challenging, novel situations every day and will have the opportunity to redefine an industry while working with different teams across Amazon and Whole Foods Market. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on many people. Most importantly you’ll be contributing to our Higher Purpose of Nourishing People and the Planet!

About the team
You'll collaborate with our cross-discipline team of engineers, program managers, and operation teams passionate about delivering innovative technical solutions for Amazon's grocery and perishables space online and in physical stores.

Basic Qualifications

  • 5+ years of non-internship professional software development experience
  • 3+ 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

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

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

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