Jobs

Software Development Engineer, Shipment Optimization, Shipment Optimization
Hyderabad, TS, IND
·
On-site
·
Full-time
·
1w ago
Have you ever ordered a product on Amazon and wondered how it got to you so fast? Did you ever think about where this package came from and how much it cost to deliver?
Join us in revolutionizing Amazon's transportation network as we build real-time, intelligent, and fully automated systems that optimize package delivery across the world's most complex logistics network. As Amazon expands globally, your work will directly impact millions of customers worldwide, set new standards for online shopping experience, and drive innovation in the transportation industry through intelligent automation and AI-driven solutions.
In this role, you'll tackle complex problems involving design and implementation of highly scalable distributed systems, optimization of data storage systems, and Big Data analytics. .
We're seeking an experienced technical leader with a proven track record in building highly-scalable, cloud-based distributed services with millisecond latency requirements. You should have deep expertise in Service Oriented Architecture, microservices, and both relational and non-relational databases. Experience in mentoring other engineers in the team, driving technical strategy, and delivering large-scale projects is essential.
You'll thrive in this role if you excel at breaking down complex problems into simple solutions, have strong object-oriented design expertise, and can effectively communicate technical concepts to diverse audiences.
About the team
We are the Amazon Shipment Optimization organization. Our vision is to build a real-time, intelligent, and intuitive "hands off the wheel" fully automated system to model Amazon's complex transportation network. This network processes millions of requests per second to determine guaranteed delivery dates and optimal transportation paths, managing billions of attributes including warehouses, routes, time windows, and costs. Our Transportation Optimization systems make critical decisions that impact billions of dollars annually, setting new standards for online shopping experience.
Basic Qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree in computer science or equivalent
Preferred Qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
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
PublicAmazon.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
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