Sr. Data Infrastructure Engineer, Interactive Video Service; IVS

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

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.

As a Data Infrastructure Engineer, you will be responsible for 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 and fast for our customers to extract the insights they need from their data.

• 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

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.

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
• Experience in software development, or experience operating highly available, distributed systems of data extraction,…