Sr. Software Development Engineer
- Seattle, WA
Are you an all star software development engineer with a passion for applying state-of-the-art computer science and machine learning to solve real world problems that directly impacts millions of people? Are you up to the task of delivering innovative and scalable technology that manages automated classification of millions of products involving hundreds of thousands of suppliers and tens of millions of customers around the world?
We tackle some of the most complex challenges in the industry today to create intelligent algorithms to automatically identify and control hazardous or controlled substances products to make sure that we protect the safety of Amazon customers, partners and employees, while continuing to offer the Earth's biggest selection of products. You will need to build Amazon scale applications running on our Cloud that both leverage and create new technologies to process large volumes of data that derive patterns and conclusions from the data.
Software engineers at Amazon are more than just order takers; they see a problem and leverage innovative technology to address it. You will be working with very large data-sets, well beyond the scalability limits of conventional relational databases. We're looking for people who innovate, love solving hard problems, and never take "no" for an answer. You will lead a team of top-notch software developers to work hard, have fun, and make history.
• Bachelor's degree in Engineering, Computer Science or related technical field
• Sound knowledge of Algorithms and Data structures
• Knowledge of database systems and SQL
• Good OO programming skills in a major language like C++ or Java
• Track record for being detail-oriented with a passion for software engineering excellence
• 5+ years of relevant work experience
• Master's degree and/or PhD preferred in mathematics, computer science, or related discipline
• A deep understanding of distributed and service-oriented architectures.
• Experience with Agile Development techniques
• Experience in large scale data mining and big data.
• Experience with technologies like Hadoop, Rules based systems and Machine learning
• Excellent written and verbal communication, presentation skills and listening skills. This will include the ability to present complex technical information in a clear and concise manner to a variety of audiences, including non-technical
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