Senior Software Engineer, Content Platform

Roku•San Jose, CA

7h•Hybrid

About The Position

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. About the Team Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform team 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. About the role 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. 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.

Requirements

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).

Responsibilities

Architect, develop, and maintain scalable backend systems and APIs using Java and Akka.
Build distributed data pipelines for batch and real-time data processing.
Design efficient and scalable systems that process large volumes of data.
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.
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.
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.
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.