Amazon Software Development Engineer – Big Data AWS Elastic MapReduce EMR 

United States, Washington, Redmond 

257063774

Key job responsibilities
You will work backwards from the customer needs and you will get to do everything from designing and building large scale systems and features for the savviest customers in the business. You will have a chance to work with the open source community and contribute significant portions its software to open source projects including Hadoop, Spark, Hive, Presto and HBase. You need to not only be a top software developer with excellent programming skills, an understanding of distributed systems and parallel data processing, and a stellar record of delivery but also excel at leadership and customer obsession and have a real passion for massive-scale computing. If you want to truly test your mettle against the hardest challenges in distributed systems to build solutions for large scale problems in a wide variety of domains, come join our group. Your responsibilities will include:1. Designing and building the next-generation technologies that will make EMR the best environment to run large-scale data processing workloads.
2. Working on complex problems in distributed systems and query engines.
3. Translation of complex functional and technical requirements into detailed architecture and design.
4. Deliver systems and features with top-notch quality, on time.
5. Own the software development process end-to-end, including: working with engineers and product managers to develop requirements; designing, architecting, planning, implementing, and testing new systems and features; deploying, and operating the production EMR systems.

- 2+ years of non-internship professional software development experience
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- 1+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience

- Experience designing and building highly-scaled distributed systems and web services
- Proficiency in high-performance, multi-threaded programming
- Knowledge of Big Data application such as Spark and Presto
- Knowledge of Container Platforms such as Docker and related technologies