Software Engineer

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 you'll be doing

• Research, design, and develop computer software programs.
• Develop, create, and modify computer applications software.
• Work alongside a skilled engineering team to design, develop, and maintain large-scale, highly performant, data processing applications.
• Own building features, working directly with product and other engineering teams.
• Demonstrate communication skills in working with technical and non-technical audiences.
• Deliver top-quality software in a timely fashion.
• Build data pipelines to process advertising data using Spark, Airflow and Hive.
• Build RESTful APIs for internal access to data products using Java and containerized deployment.
• Configure continuous integration and continuous delivery (CI/CD) processes for data products and services.

You are required to have

• Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, or related field.
• 1 year of experience in the position or in a related occupation.

Must have at least 1 year of prior work experience in the following:

• Deploying to and operating in a public cloud such as Amazon Web Services (AWS), Google Cloud Platform (GCP), etc.
• OO programming language: either Java or Python.
• Building data pipelines to process data using Airflow and Spark.
• Big data design.
• ETL (Extraction, Transformation and Load).
• Architecting software designs for Big data platforms.