Senior Software Engineer, Content 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.

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 our 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 effectively handle large-scale data. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, and 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.

For California Only - The estimated annual salary for this position is between $300,000 - $425,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing

Design and Development:

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, scalable systems to 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 Java code that adheres 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.

We're excited if you have

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-JC5

Our Hybrid Work Approach

Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.

Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our emplo…