Amazon's BDT/Cradle team is seeking a passionate and innovative engineer to join their engineering team. This role is at the intersection of big data processing and distributed systems, working with Amazon's technology that connects millions of businesses to hundreds of millions of customers worldwide.
The position involves working with cutting-edge technologies to build and maintain unified compute platforms for batch, streaming, and machine learning processing. You'll be working with Apache Spark, Scala, Java, Python, and ML technologies to process native SQL and implement machine learning transformations. The platform handles data stored in S3 and interfaces with various front-end caches like Dynamo, Redis, and ElasticSearch.
As a Software Development Engineer, you'll be responsible for developing sophisticated distributed systems that operate at Amazon's massive scale. The role requires someone who can thrive in a fast-paced environment while maintaining high technical standards. You'll be working on systems that enable seamless transitions between Streaming, Batch, Cache, and Analytics processing to meet customer demands.
The ideal candidate will combine strong technical abilities with excellent communication skills. You'll be part of a team that values innovation and technical excellence, working on solutions that directly impact millions of businesses and customers. This is an opportunity to work with some of the most advanced distributed systems and data processing technologies while solving complex technical challenges at scale.
The position offers the chance to work on critical infrastructure that powers Amazon's marketplace, requiring both depth in distributed systems and breadth across various technologies. You'll be expected to contribute to the full software development lifecycle, including design, implementation, testing, and operations of these critical systems.