Senior Software Engineer (Data Management Platform)

Senior Software Engineer (Data Management Platform)

Full-Time 60000 - 80000 € / year (est.) No home office possible
Roku, Inc.

At a Glance

  • Tasks: Design and build scalable data systems and APIs for a leading TV streaming platform.
  • Company: Join Roku, the #1 TV streaming platform in North America, revolutionising how the world watches TV.
  • Benefits: Competitive salary, health benefits, remote work options, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting projects and career advancement opportunities.
  • Why this job: Make a real impact on millions of viewers while working with cutting-edge technologies.
  • Qualifications: Expertise in big data technologies like Apache Spark and experience in software development.

The predicted salary is between 60000 - 80000 € per year.

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: 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, develop, and maintain large scale, low latency API systems using SpringBoot and Kubernetes. Maintain NoSQL Infrastructure including ScyllaDB and Aerospike.

Senior Software Engineer (Data Management Platform) employer: Roku, Inc.

At Roku, we pride ourselves on being a dynamic and innovative employer that empowers our employees to make impactful contributions from day one. Our collaborative work culture fosters creativity and growth, offering ample opportunities for professional development in the fast-evolving tech landscape of streaming services. Located at the heart of the tech industry, we provide a unique environment where you can thrive while working on cutting-edge technologies that delight millions of viewers worldwide.

Roku, Inc.

Contact Detail:

Roku, Inc. Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Software Engineer (Data Management Platform)

Tip Number 1

Network like a pro! Reach out to current or former employees at Roku on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Show off your skills! If you’ve got a portfolio or GitHub with projects that highlight your expertise in big data technologies, make sure to share it during interviews. It’s a great way to demonstrate what you can bring to the table.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and understanding of data engineering concepts. Practice common interview questions related to Apache Spark and Spring Boot to feel confident when it’s your turn to shine.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Roku team.

We think you need these skills to ace Senior Software Engineer (Data Management Platform)

Apache Spark
Apache Airflow
Spring Boot
Kubernetes
ScyllaDB
Cassandra
Aerospike

Some tips for your application 🫡

Show Your Passion for Streaming:When you're writing your application, let your enthusiasm for the streaming world shine through! Mention any relevant projects or experiences that connect with Roku's mission to change how the world watches TV.

Highlight Your Technical Skills:Make sure to showcase your expertise in big data technologies like Apache Spark and Airflow. We want to see how you've used these tools in past projects, so don’t hold back on the details!

Emphasise Teamwork:Since teamwork is key at Roku, share examples of how you've collaborated with cross-functional teams in your previous roles. This will show us that you can thrive in our dynamic environment.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Roku, Inc.

Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, like Apache Spark and Spring Boot. Brush up on your knowledge of big data technologies and be ready to discuss how you've used them in past projects.

Showcase Your Collaboration Skills

Since teamwork is key at Roku, prepare examples that highlight your experience working with cross-functional teams. Think about times when you collaborated with product managers or data engineers to deliver a project successfully.

Prepare for Problem-Solving Questions

Expect to face technical questions that assess your problem-solving abilities. Practice coding challenges and be ready to explain your thought process as you tackle complex data engineering scenarios.

Demonstrate Your Passion for Innovation

Roku is exploring AI-driven capabilities, so show your enthusiasm for new technologies. Discuss any relevant projects or ideas you have that could enhance advertising effectiveness or operational efficiency in data management.