채용
Amazon moves millions of packages every day through the world's largest transportation network of planes, trucks, and delivery vehicles. Before any package can be assigned to a route, someone needs to design that network - figure out which lanes exist, how much capacity each node and lane can handle, and what changes are needed as demand shifts. That's what we build.
Global Transportation Tech Services (GTTS) creates software that manages the foundation of Amazon's outbound transportation network. Your work has direct financial impact on network efficiency and directly affects whether customers get their packages on time.
Here's what we actually do: We build the platform that transportation teams use to design and change the network - from evaluating new lanes to putting them live. We calculate how much capacity each node and lane will have, so the network can handle the volume. We identify where capacity will fall short and alert operators before it becomes a problem. We spot packages at risk of missing delivery and give operators tools to protect them. When a hurricane hits Florida or a snowstorm shuts down highways in the Midwest, our systems detect the disruption, protect customers by adjusting delivery promises, and help move volume to keep packages flowing.
The challenges are real: modeling capacity across a massive global network, managing thousands of network changes safely, predicting capacity gaps weeks in advance, detecting and responding to disruptions in real-time, and keeping systems running 24/7.
We regularly build new greenfield products while also modernizing existing systems. You'll have space to explore new technologies and approaches to solve customer problems. We work with AWS services, big data processing (Spark/Scala), optimization algorithms, machine learning models, and GenAI.
- Key job responsibilities
- Working independently to own end-to-end delivery (from design through release) of features and medium-sized projects
- Working with AWS technologies such as Lambda, ECS Fargate, API Gateway, RDS, DynamoDB, EMR
- building customer-facing applications and APIs
- building data pipelines using Spark + Scala that process Tb of data per day
- working with customers to understand the business context of new features
- contributing to design reviews and code reviews
- participating in operational support for our products by joining a regular on-call rotation
- driving reliability and process improvements
- Mentoring SDE-I engineers and helping them grow technically
- participating in regular hackathons to bring new ideas to GTTS
About the team
We're a global team with members in Hyderabad and Luxembourg. The team includes software engineers, product managers, technical program managers and applied scientists working on transportation problems.
What to expect:
- You build and operate your software - we handle on-call for what we create
- Work spans multiple technologies: big data processing, backend services, frontend development, and integration with optimization and ML models. You'll also use GenAI to both augment your skills and build agents that automate workflows
- Regular interaction with users of the software
- Team members work across different time zones
- We value different perspectives and encourage open discussion
- Opportunity to work on problems that affect transportation operations globally
Basic Qualifications
- Bachelor's degree in computer science or equivalent
- 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
- 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
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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Amazon 소개

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+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
3.4
10개 리뷰
워라밸
2.3
보상
4.2
문화
3.1
커리어
3.8
경영진
2.7
65%
친구에게 추천
장점
Great benefits and competitive compensation
Learning opportunities and career advancement
Good teamwork and colleagues
단점
High pressure and long hours
Poor work-life balance
Toxic work culture and high turnover
연봉 정보
4개 데이터
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
면접 경험
6개 면접
난이도
4.0
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 17%
부정 83%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
뉴스 & 버즈
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2d ago
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2d ago



