Description Looking for an exciting challenge to accelerate your career? Are you customer obsessed? Imagine being part of a team that predicts inventory flows for Amazon’s worldwide supply chain. Amazon’s worldwide inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assigning to the best warehouse to fulfill customer demand forecast. Our massive simulation system lives at the heart of these algorithms, keeping up with the rapid pace of optimization improvements and simulating how they interact with each other. We simulate what these systems will do for months into the future, predicting inventory flows across the network for both labor planning and AB test experimentation, end-to-end from vendors to customers. The Amazon Supply Chain Optimization Technology (SCOT) organization is looking for a highly motivated software development engineers (SDE). SCOT is a unique opportunity to both create and see the direct impact of your work on billions of dollars’ worth of inventory, in one of the world’s most advanced supply chains, and at massive scale. 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. Finally, here are some more reasons you might find this opportunity exciting: - Being part of a team that is at the heart of the most sophisticated supply chain and decision making system on the planet. - Working at the intersection of science and engineering to simulate and predict future supply chain flows in order to ultimately impact Amazon user experience (by helping supply chain teams run experiments that allow for speed and same day availability for example), saving hundreds of millions of dollars using cutting edge science and technology on the way. - Closely collaborating with some of the brightest software engineers, scientists, and economists, in order to solve complex supply chain problems and implement systems to tackle these challenges at scale (trillions of simulation events per day), and an evolving need for faster and more scalable applications. - Being part of a team that values creativity and welcomes outside of the box thinking (thinking big!). - Being part of a team with a high emphasis on a positive work culture of collaboration. - Being part of a fast growing team with many growth opportunities Basic Qualifications - 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 Preferred Qualifications - 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.