Software Dev Engineer II, Transportation Volume Planning

Have you ever wondered how Amazon predicts when your order will arrive and how we ensure that it actually arrives on at the promised date / time?

Have you wondered where all those Amazon semi-trucks on the road are headed? Are you passionate about increasing efficiency and reducing carbon footprint?

Does the idea of having worldwide impact on Amazon's logistics network including our planes, trucks, and vans sound exciting to you?

If so, then we want to talk with you! At Amazon's Fulfillment Optimization, we are tasked with optimizing the fulfillment on customer orders so that we fulfill all orders worldwide in the most intelligent manner while ensuring Amazon customers get their orders on time.

The Transportation Volume Planning team owns and operates ML and simulation systems that continually optimize the distribution of tens of millions of products across Amazon’s warehouses in the most cost-effective manner, utilizing large scale optimization techniques and distributed computing in trying to reduce overall transportation costs while improving the customer experience.

We are focused on saving hundreds of millions of dollars using big data technologies, cutting edge science, machine learning, and scalable distributed software on the cloud that automates and optimizes inventory and shipments to customers under the uncertainty of demand, pricing and supply.

We’re looking for a passionate and results-oriented Software Development Engineer to develop large scale, fault tolerant and high availability software systems using mathematical modeling, ML and simulations.

You will directly impact our direct customers, and even play with big data and incredible scale in the background.

Watch to get the big picture.

Key job responsibilities

High level responsibilities for this position include but are not limited to :

• Build large-scale, highly distributed systems solving complex logistics problems for the Amazon supply chain business.
• Collaborate with cross-functional teams including product managers, program managers, and other engineering teams to deliver high-quality software solutions that meet technical and business requirements.
• Participate in the full software development life cycle, including writing clean, maintainable, and well-documented code, conducting code reviews, deploying production-ready software to Amazon's infrastructure and supporting the software in production.
• Troubleshoot and debug complex issues across multiple systems and services, collaborating with other teams as needed.
• Drive operations excellence by analyzing ticket root causes, and reduce both short-term and long-term operational load.

About the team

The Transportation Volume Planning team is part of the Fulfillment Optimization org and owns optimization and simulation systems to guide Amazon's outbound capacity planning.

The team is currently spread across Seattle, Austin, TX, and New York City. The team is multi-disciplined comprising of research science, business intelligence, and software development.

Come join us as we fundamentally redesign our approach to Amazon first-party fulfillment.

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
• 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
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• Bachelor's or Master's degree in Computer Science, Computer Engineering, or related fields.
• Obsession with quality and customer experience - attention to detail coupled with ability to think abstractly
• Familiarity with distributed systems, microservices architecture, and containerization technologies on AWS.
14 days ago