The Middle-Midle Transportation Technology team builds the underlying technology that powers Amazon’s middle-mile network across the globe. The Planning and Network team owns systems that take demand for middle-mile freight movements for Amazon and produces a plan that meets demand and supply constraints while minimizing costs and manual effort required to generate vehicle movement plans. This is a unique opportunity to work on progressive NP Hard problems/Algorithms that saves Amazon MM of $ in freight movements.

The ideal SDE will be instrumental in shaping the product direction, developing and tuning algorithms with research scientists, collaborate with stakeholders to model the planning components, and develop scalable systems that help us build a planning flywheel — highest performance, at the lowest cost, and with the best delivery experience. You will work with other tech teams to model and consume inputs such as carrier supply, cost/rates, transit times, and distances in an efficient and automated fashion. The work done on the team will help our transportation systems scale beyond just road transportation to Air, Rail and Ocean to build a truly multi-modal global transportation network.
Your Responsibilities:
- Work closely with senior engineers, product managers and business stakeholders to design and implement highly available web services
- Work with research science to develop and model new planning related algorithms
- Lead a small team of engineers and lead execution of projects while ensuring that engineering best practices are followed
- Assist directly and indirectly in the continual hiring and mentoring of other SDEs
The ideal candidate will be passionate about solving complex optimization problems and architecting and implementing highly-available distributed systems. You obsess about the customer experience and the needs of the business. Finally, you have a strong focus on operational excellence and take pride in building maintainable systems at scale.

Key job responsibilities
* Work closely with senior engineers, product managers and business stakeholders to design and implement highly available web services
* Work with research science to develop and model new planning related algorithms
* Lead a small team of engineers and lead execution of projects while ensuring that engineering best practices are followed
* Assist directly and indirectly in the continual hiring and mentoring of other SDEs