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Description

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. You'll pioneer next-generation automation systems, developing intelligent solutions for automated code and network configuration generation, hands-free troubleshooting, and sophisticated impact analysis tools. Your work will involve building self-healing infrastructure and automated deep dive capabilities that quickly identify root causes across vast amounts of operational data.

We're seeking an experienced software engineer 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. [Removed n-tiered architecture reference] Experience with implementing AI-driven automation and maintaining high-transaction volume systems is essential.

You'll thrive in this role if you excel at breaking down complex problems into simple, elegant solutions, have strong object-oriented design expertise, and can effectively communicate technical concepts to diverse audiences. We value candidates who bring a proven track record of improving team coding culture and implementing best practices around quality and security.

Key job responsibilities
Your responsibilities will include:
• Design and develop large-scale, highly distributed real-time systems that are core to managing Amazon's supply chain, focusing on high availability and scalability
• Lead technical design and implementation using Java, Kotlin, object-oriented patterns, and NoSQL databases, while leveraging AWS solutions for PB-scale big data processing
• Develop autonomous operations capabilities using latest AI technologies, including automated validation, quality assurance systems, and hands-free troubleshooting tools
• Create sophisticated impact analysis and monitoring solutions that ensure system reliability and performance at scale
• Work closely with senior leaders, researchers, and data engineers across multiple teams to design and implement supply chain optimization solutions
• Gather and analyze business requirements, translate them into technical specifications, and serve as a key technical resource throughout the development cycle
• Maintain comprehensive technical documentation and recommend improvements to development and system standards
• Participate in on-call rotation as part of standard engineering responsibilities
• Operate in an agile environment, prioritizing high-impact work while maintaining exceptional reliability standards

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. We're building automated transportation configuration management systems complete with automated diagnostics, made possible by advances in AI.