Amazon Interactive Video Service (Amazon IVS) is AWS's fully managed live streaming service, built on the same battle-tested technology that powers Twitch and trusted by thousands of enterprises across gaming, social, live commerce, sports, and entertainment. Our mission: enable developers to build communities around live video. We handle everything from ingest to processing to delivery at global scale, so developers can focus on creating interactive, engaging live experiences for their audiences. Whether you're streaming to tens of millions of concurrent viewers or just getting started, Amazon IVS removes the complexity so developers can move fast. Amazon IVS is building the future of live video for AWS. The IVS Data Infrastructure team is the backbone of that future, empowering internal teams and IVS customers with the data they need to make key operational and business decisions. We operate petabyte-scale data infrastructure for collecting, processing, and warehousing IVS data. We support streaming and batch pipelines to facilitate analytics, reporting, and ML workloads. We offer analytics tools and data products designed to make it easy for our customers to extract the insights they need from their data. As a member of the team, you will partner with Product and Data Science stakeholders to understand your customers' needs and deliver robust, scalable solutions. You will work with an enthusiastic team of engineers to bring data-driven clarity to IVS and its customers. Key job responsibilities • Design, implement, and maintain scalable data infrastructure in native AWS • Build and optimize data pipelines (batch and streaming) to support analytics, reporting, and ML workloads • Ensure data quality, reliability, and observability through monitoring, logging, and automated alerting • Work closely with product and analytics teams to understand requirements and deliver high-performance solutions • Champion best practices for security, compliance, and governance in data infrastructure • Identify opportunities to optimize performance and cost of data platforms • Stay current with emerging tools, frameworks, and cloud services in the data infrastructure ecosystem A day in the life Your primary focus will be empowering customers to succeed with their data by ensuring they can: • Gather and access data at scale – Enable seamless data collection and retrieval that grows with their needs • Extract meaningful insights – Provide the right tools and capabilities to uncover the answers they're seeking • Trust their data – Maintain confidence in the completeness, accuracy, and reliability of their information Achieving these goals requires close collaboration and strong partnerships with Product and Data Science teams to deliver solutions that truly meet customer needs.