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Software Development Engineer, Fixed Asset Automation (FAA)

Amazon

Software Development Engineer, Fixed Asset Automation (FAA)

Amazon

Hyderabad, TS, IND

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Mental Health

Healthcare

401k

Equity

Parental Leave

Mental Health

Required Skills

Software development

System design

Architecture design

Are you passionate about finding patterns in seemingly disparate problems? Does working closely with the customers to drive innovation excite you? Interested in building high-performance, globally scalable systems that support Amazon's current and future growth? If so, Amazon Finance Technology (Fin Tech) is for you!

Amazon Fin Tech is an organization where people, technology and innovation come together to build products and solve problems for Amazon. Technology solution and services we build enables Amazon’s new business growth, provide operational efficiency through automation, compliance with law and analysis of our financial data. Through our products, we aim to provide Amazon competitive advantage for running its business and insights for our customers using state of the art technologies.

We are looking for an experienced Engineers for Fin Tech Fixed Asset Team. Fixed Assets is a significant line on Amazon’s balance sheet and growing 26% YOY. They range widely from buildings, furniture, servers, delivery vehicles, drones, airplanes, robots, etc. and are in every country in which we do business. We are building systems that service the fixed asset needs of tax, accounting, and finance teams worldwide, and automating transactions from asset creation through disposal. It is multi-year challenge and we are building a team with the technical chops to revolutionize fixed assets well beyond what any tier 1 ERPs can do today. This is your opportunity to make your mark in the design and architecture of the new system.

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