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- Tasks: Design and build APIs, develop data pipelines, and optimise analytics solutions.
- Company: Join Roku, the leading TV streaming platform transforming how the world watches TV.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact in the advertising ecosystem while working with cutting-edge technologies.
- Qualifications: Experience in API development and big data engineering, especially with Spring Boot and Apache Spark.
The predicted salary is between 60000 - 80000 ÂŁ 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 Ads Analytics team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision‑making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal business teams. We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high‑impact solutions. Looking ahead, we are exploring AI‑driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics.
About the role: We are seeking a high‑skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark‑based Big Data pipelines using 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. You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. In this role, you will collaborate with cross‑functional teams to architect and manage robust, production‑grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high‑performance solutions.
The ideal candidate is a proactive, self‑motivated professional with a strong track record in building applications and services with 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 analytics workflows. Write clean, maintainable, and efficient code and tests, 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 and analytics solutions using Druid, Trino, and StarRocks for large‑scale datasets. Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
Collaboration
Senior Software Engineer, Data - Advertising Engineering employer: Roku, Inc.
Contact Detail:
Roku, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer, Data - Advertising Engineering
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Roku or similar companies. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in data engineering and software development. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 3
Showcase your passion for the role! When you get the chance to chat with recruiters or hiring managers, express your enthusiasm for Roku's mission and how your skills can contribute to their goals in advertising engineering.
✨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 - Advertising Engineering
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with API development and big data technologies. We want to see how your skills align with what we're looking for, so don't hold back!
Tailor Your Application: Take a moment to customise your application for the Senior Software Engineer role. Mention specific projects or experiences that relate to our tech stack, like Spring Boot or Apache Spark. This shows us you’re genuinely interested in the position.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications.
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’s super easy to do!
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, especially Spring Boot and Apache Spark. Brush up on your API development skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Collaboration Skills
Since this role involves heavy collaboration with cross-functional teams, prepare examples of how you've successfully worked with product managers, data scientists, or other engineers. Highlight your communication style and how it contributes to project success.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges related to API development and data engineering. Be ready to explain your thought process and how you approach debugging and optimising systems.
✨Demonstrate Your Passion for Innovation
Roku is exploring AI-driven measurement capabilities, so show your enthusiasm for new technologies. Discuss any relevant experience you have with AI or machine learning, and how you see these technologies impacting the advertising ecosystem.