Senior Software Engineer, Content Platform

Job description

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 pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our capabilities. Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Software Engineer, Content Platform who can drive further innovation. What is the role? We are seeking a highly experienced and skilled Senior Software Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that handle large-scale data effectively. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, as well as a passion for solving complex problems and delivering robust solutions. We’re always in “build mode” because we’re a company of data-focused builders. Every day, you’ll look at what exists and find ways to make it better. 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 you 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? Design and Development: • Architect, develop, and maintain scalable backend systems • Build distributed data pipelines for batch and real-time data processing • Design efficient and scalable systems that process large volumes of data Big Data Expertise: • Leverage big data technologies such as Apache Spark, Kafka, Flink, and related tools to build high-performance data pipelines • Work on data transformation, ingestion, and integration for both structured and unstructured data • Implement solutions for data lake and data warehouse integrations Real-Time Processing: • Develop and maintain real-time data processing applications to support business-critical use cases • Optimize real-time data flows for low latency and high throughput Java Expertise: • Write clean, efficient, and reusable code in Java, adhering to industry best practices • Optimize Java applications for performance, scalability, and reliability • Leverage Java frameworks such as Spring Boot for backend development Monitoring and Optimization: • Monitor, troubleshoot, and optimize backend and data systems to ensure high availability and reliability • Design and implement performance tuning strategies for large-scale distributed systems What experience would help someone be successful in this role at Roku? • 7+ years of experience in backend development and distributed data processing • Proven expertise in designing and building scalable systems with Java • Hands-on experience with Big Data technologies such as Spark, Kafka, and Flink • Proficiency in Java and Java-based frameworks (Spring, Spring Boot, etc.) • Strong understanding of distributed systems and microservices architecture • Experience with cloud platforms like AWS, Azure, or Google Cloud • Familiarity with containerization and orchestration tools like Docker and Kubernetes • Knowledge of SQL and NoSQL databases (e.g., DynamoDB or Aerospike) #LI-AB3 What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday.