The Middle-Mile Transportation Technology team at Amazon is seeking a Software Development Engineer to join their Planning and Network team. This role focuses on building systems that optimize Amazon's global middle-mile network, handling freight movement planning while minimizing costs. You'll work on challenging NP-Hard problems and algorithms that save millions in freight movements.
The position offers a unique opportunity to shape product direction, develop algorithms alongside research scientists, and build scalable systems for transportation planning. You'll be instrumental in creating a planning flywheel that optimizes performance, cost, and delivery experience. The role involves working with various transportation modes including road, air, rail, and ocean to build a truly multi-modal global transportation network.
As a Software Development Engineer, you'll collaborate with senior engineers, product managers, and stakeholders to design and implement highly available web services. You'll lead a small team while ensuring engineering best practices are maintained. The ideal candidate should be passionate about solving complex optimization problems and building highly-available distributed systems.
This is an excellent opportunity for someone who obsesses about customer experience and business needs, with a strong focus on operational excellence. You'll be part of a team that's transforming Amazon's transportation technology landscape, working on systems that directly impact the efficiency and cost-effectiveness of one of the world's largest logistics networks.
The role offers the chance to work with cutting-edge technology while solving real-world logistics challenges. You'll be part of Amazon's innovative culture, working with talented engineers and scientists to build solutions that operate at global scale. If you're passionate about complex problem-solving, system architecture, and want to make a significant impact on global transportation systems, this role offers the perfect opportunity to grow your career while working on meaningful challenges.