Amazon Corporate LLC Amazon S3, Software Development Engineer in Seattle, Washington

Amazon S3, Software Development Engineer Job ID 454827 Location US-WA-Seattle Posted Date 11/28/2016 Company Amazon Corporate LLC Position Category Software Development Recruiting Team .. Job DescriptionAre you excited about the incredible opportunity that cloud computing represents? Are you passionate about delivering high quality services and ready to apply your experience at massive scale? Amazon Web Services' Cloud Storage, AWS S3, is one of the largest distributed storage systems in the world. We host trillions of objects and serve millions of requests per second and we're growing more than 100% year of year. As our customers store more and more data in S3, we want to make it easier for them to manage this data at scale. The S3 Data Intelligence team provides customers insight into their cloud storage and improves S3's effectiveness and efficiency through the application of data, science, and engineering. We use data science, machine learning, and business intelligence to transform mass quantities of data from information to knowledge. To do this at S3's scale we invent new algorithms, operate huge map reduce clusters, and utilize key AWS services for streaming analytics and data warehousing. As an S3 leader, you will hire and developing a strong team. You are responsible for the goals and roadmap of your team and will have a major stake in the strategic direction of your services. In AWS, we're reinventing technology platforms in the cloud. We need leaders that are able to look at problems in new ways, inventing simple solutions to complex problems. Basic Qualifications 4+ of experience as a software engineering manager, preferably in building transformative user experiences 3+ years experience in performance optimization and scaling projects 3+ years experience expertise in leading and delivering customer-oriented design improvements, including closed feedback loops Bachelor's degree in computer science, mathematics, a related field or equivalent work experience Preferred Qualifications Experience in data mining, streaming analytics, or time series analysis Experience in machine learning, graphical models, structured learning, or sketching Experience in big data processing tools like Hadoop, Spark, and Hive Experience with Agile engineering practices (Scrum, continuous integration and continuous deployment, etc.) Experience rapidly growing teams, driving hiring and training for new employees Experience building high-scale services in fast-paced environments Excellent communication skills, both written and verbal Experience with new product definition and development, including Minimal Viable Product methodology Experience with distributed systems architectures Advanced degree in computer science, mathematics, or a related field Amazon is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation