Senior Software Engineer - Data Platform

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. What does the team work on? Roku is in the process of modernizing and enhancing its Big Data Platform. We are working on defining the new architecture to improve performance, user experience, minimize the cost and increase efficiency. What is the role? This role is for an expert in Big Data Technologies who is interested in helping build a state-of-the-art big data platform. You will be responsible for architecture of the platform, streamlining and tuning existing Big Data systems, the platform, pipelines and building new ones, making sure the systems run efficiently and with minimal cost. You will also be making changes to the underlying systems and contributing work back into open source when opportunities arise. You will be responsible for supporting internal customers and on-call services for the systems we host, ensuring we provide a stable environment and great user experience. How will I use AI at Roku? At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We’re looking for curious, adaptable builders who can show how they’ve used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you. What are the responsibilities of the role? Architect platform components, optimize current big data systems, pipelines, and develop cost-effective new systems. Make changes to the underlying systems and contribute work back into open source when opportunities arise Support internal customers and on-call services for the systems we host Ensure a stable environment and great user experience What experience would help someone be successful in this role at Roku? 12+ years of production experience building big data platforms based upon Spark, Trino or equivalent Strong software fundamentals and programming expertise in Java, Scala, Kotlin or another JVM language A robust grasp of distributed systems concepts, algorithms, and data structures Experience modifying or extending the internals of at least 3 of - Spark, Trino, Presto, Flink, Airflow, Druid, Hive, Hadoop, Hbase, Iceberg, Delta Lake, Pinot, Storm, Kafka, Pulsar, Clickhouse etc Strong familiarity with the Apache Hadoop ecosystem & deep expertise in the internals of distributed processing / query engines Extensive experience diagnosing performance bottlenecks, tuning distributed engines, and implementing system-level optimizations to maximize throughput and minimize operational costs Extensive hands-on experience with public cloud AWS or GCP Production grade Agentic AI development experience Bachelor's or Master's degree in computer science or equivalent #LI-DS4 What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams general…