Software Development Engineer, Digital Content Platform
6 months ago(1/4/2018 2:31 PM)
AMZN CAN Fulfillment Svcs, Inc
North American Teams - Content/Device
Software Development Engineer, Digital Accounting Platforms
Are you interested in contributing to the platform that aggregates and processes all Digital Content transactions globally? Maybe you’re already familiar with technologies like S3, SQS, Hadoop and Hive but never got the chance to push their boundaries? We also have a few more technologies for low latency data storage and aggregation in our toolbox you might want to play with. You bring the skills and enthusiasm; we’ll provide the big data. We are looking for Software Engineers that enjoy solving complex problems at incredible scale to join the RAPID (Reconciliation and Accounting Platform in Digital) team.
As a Software Engineer on the RAPID team you will be responsible for designing and implementing core components of our platform to support the fast pace of Amazon’s digital media content offerings. You’ll help increase the speed to market for digital products like Amazon Kindle, Amazon Instant Video, Amazon Appstore and Amazon MP3.
Amazon has an active development community that builds great tools and systems. There are frequent classes and seminars, as well as on-line resources for growth and development.
4+ years’ experience building successful production software systems.
BS/MS in Computer Science or equivalent.
Experience defining system architectures and exploring technical feasibility tradeoffs.
Experience developing service oriented architectures and an understanding of design for scalability, performance and reliability.
Proficiency in at least one modern programming language such as C/C++, C#, Java, Perl and open-source technologies (Linux, SQLite, OpenGL, Spring, Guice, Hibernate).
Excellence in technical communication with peers and non-technical cohorts.
Experience designing and implementing reliable and efficient systems that operate at incredible scale
Previous experience using AWS technologies
Experience using large-scale distributed systems like Hadoop, Hive and map reduce to solve big data problems
Strong written and verbal communication skills preferred
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Experience mentoring software engineers and influencing best practices within your team
Hands-on expertise in many disparate technologies, typically ranging from front-end user interfaces through to back-end systems and all points in between
Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.