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As an SDE in SCOT’s Simulation and Experimentation (SimEx) team, you will work closely with some of the brightest software engineers, scientists, economists, and product managers, to solve highly complex supply chain challenges. You will work on one of the largest distributed systems in the world in order to support new use cases and design its future state, you will think of how we can leverage newer AWS technologies (specifically technologies such as ECS and EMR), that will allow our next generation system to run elastically at a much larger scale and on demand, as well as define new frameworks (data APIs, plug and play technology) that will allow supply chain teams to integrate their components in simulation in a low touch manner. You will be responsible for building key technology programs across our SimEx tool set, successfully delivering new functionality and meeting program goals. You will design, implement, test, write library code and own Monte Carlo Simulation system for Amazon Supply Chain, using object-oriented, distributed programming, and other AWS services and more in Linux environment.
- 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
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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