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, remote work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and career advancement.
- 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 engineering.
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
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 in a vibrant tech hub, we provide a unique chance to work with cutting-edge technologies while delighting millions of viewers worldwide.
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 have a portfolio or GitHub with projects related to big data technologies, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise in Apache Spark and Airflow.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of data pipelines. Practice common algorithms and system design questions that are relevant to the role.
✨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 joining the Roku team.
We think you need these skills to ace Senior Software Engineer – Data Management Platform
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let us see your enthusiasm for big data technologies! Mention your experience with tools like Apache Spark and Airflow, and how you've used them to solve real-world problems. We love seeing candidates who are genuinely excited about the tech they work with.
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Software Engineer role. Highlight relevant projects and experiences that align with our needs in data management and API development. A tailored application shows us you’ve done your homework and are serious about joining our team.
Keep It Clear and Concise:We appreciate clarity! When writing your application, be straightforward and avoid jargon overload. Use bullet points where possible to make your skills and experiences stand out. Remember, we want to quickly understand what makes you a great fit for the role.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values while you’re at it!
How to prepare for a job interview at Roku
✨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 Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about specific examples where you’ve optimised data systems or improved performance. Be ready to explain your thought process and the impact of your solutions.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be prepared to discuss your experience collaborating with product managers and other engineers. Share examples of how teamwork has led to successful project outcomes.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about the team’s current projects or future plans for AI-driven capabilities. This shows you’re engaged and thinking ahead!
