Senior Software Engineer – Data Management Platform

Teamwork makes the stream work. , 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.

About The Team

The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.

Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms.

About The Role

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing. In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform.

You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions. The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results. What You’ll Be Doing Software Development Design and build APIs and backend services using Spring Boot to support data products and audience management workflows.

Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. Big Data Engineering Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.

Develop and fine-tune complex queries using Apache Spark for large-scale datasets. Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. API and Platform Development Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes Maintain NoSQL Infrastructure including ScyllaDB and Aerospike Collaboration Mentorship Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions.

Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. We’re Excited If You Have 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. Expertise with at least one of the following ScyllaDB and Aerospike (preferred) .

Strong understanding of SOLID principles and distributed systems architecture. Proven experience in distributed data processing, data warehousing, and real-time data pipelines.