Amazon's Supply Chain Optimization Technologies team is seeking a Software Development Engineer to revolutionize how they manage capacity across their vast network of warehouses and transportation systems. This role sits at the intersection of complex distributed systems and supply chain optimization, focusing on building real-time, intelligent systems that help deliver packages faster and more efficiently.
The position requires expertise in both relational and non-relational databases, distributed systems, and high-performance Java development. You'll be working on systems that operate at Amazon's massive scale, requiring innovative approaches to data storage, validation, and processing. The role involves designing and implementing large-scale cloud-based distributed services with millisecond latency requirements and high transaction volumes.
As a key contributor, you'll collaborate with Principal Engineers, Scientists, and business stakeholders to architect solutions that optimize warehouse capacity management. The role offers the opportunity to work with cutting-edge technologies and experiment with various tools to solve complex technical challenges. You'll be expected to use Test-Driven Development and Continuous Deployment practices while mentoring other engineers on the team.
The ideal candidate should have strong experience in service-oriented architecture, caching, load balancing, and microservices. You'll be working in an environment that values innovation and technical excellence, with the opportunity to directly impact millions of customers through Amazon's supply chain systems. The position offers competitive compensation ranging from $129,300 to $223,600 based on location and experience, plus additional benefits and equity opportunities.
This role is perfect for engineers who are passionate about solving complex technical problems, enjoy working in a fast-paced environment, and want to make a significant impact on one of the world's largest supply chain networks. You'll be part of a team that's pushing the boundaries of what's possible in supply chain optimization while working alongside some of the industry's brightest minds.