Come build the future of data streaming with the Amazon Data Firehose (ADF) team! Amazon Data Firehose is a fully managed service for capturing, transforming, and delivering streaming data to destinations like Amazon S3, S3 Tables, Redshift, Splunk, and OpenSearch Service. It automatically scales to handle incoming data, requires no application to be written, and can perform transformations before delivery, such as format conversion or dynamic partitioning. Firehose works with billions of events and petabytes of data each day in support of many thousands of customers running mission-critical real-time applications. We are looking for a Software Development Engineer for the Amazon Data Firehose Team. The team owns all aspects of the Firehose service, including requirements, architecture, design & development, quality assurance, deployment and operations. As an engineer in this team, you will learn the ins and outs of building a highly available, scalable, distributed and secure system that uses all the modern cloud computing paradigms, techniques and tools. The ideal candidate has experience designing large-scale systems supporting millions of transactions per second, enjoys solving complex software problems, and possesses skills to innovate, design and solve problems at scale. Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm. Your responsibilities will include collaborating with other engineers to build a large scale AWS service, and work with senior leaders to define your team's roadmap, including identifying design and code changes needed in the underlying open source platforms.
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Job Type
Full-time
Career Level
Entry Level