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 transforming how the world watches TV.
- Benefits: Enjoy competitive pay, mental health support, flexible remote work, and career growth opportunities.
- Other info: Collaborative culture focused on innovation and problem-solving.
- Why this job: Make a real impact in advertising tech while working with cutting-edge big data technologies.
- Qualifications: 8+ years in software/data engineering with expertise in Apache Spark and Airflow.
The predicted salary is between 70000 - 90000 £ 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.
- 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.
- Design, develop, and maintain large scale, low latency API systems using SpringBoot and Kubernetes.
- Maintain NoSQL Infrastructure including ScyllaDB and Aerospike.
- Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions.
- Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
- 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
- Expertise with at least one of the following: ScyllaDB and Aerospike (preferred).
- Strong understanding of SOLID principles and distributed systems architecture.
- Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
- Advanced SQL skills, with expertise in query optimization for large datasets.
- Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
- Excellent verbal and written communication skills.
- Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes (preferred).
- Experience in AdTech, in advertising data platforms and audience management (preferred).
- Strong programming skills in Python, Java, and/or Scala (preferred).
- Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform) (preferred).
- Expertise in data modeling, schema design, and data visualization tools. Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows (preferred).
- Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
Senior Software Engineer – Data Management Platform in Cambridge employer: Roku
Contact Detail:
Roku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer – Data Management Platform in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current or former Roku employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your big data tech skills. Make sure you can talk confidently about Apache Spark and Airflow, as well as your experience with APIs and data pipelines. We want to see your passion!
✨Tip Number 3
Show off your problem-solving skills during interviews. Be ready to tackle some coding challenges or case studies that reflect real-world scenarios at Roku. We love seeing how you think on your feet!
✨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 in Cambridge
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for the role shine through! We want to see how excited you are about joining our team and contributing to Roku's mission. Share what makes you tick in the world of software and data engineering.
Tailor Your CV: Make sure your CV is tailored to the job description. Highlight your experience with big data technologies like Apache Spark and Airflow, and don’t forget to mention any relevant projects. We love seeing how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Senior Software Engineer role. Be specific about your achievements and how they relate to the responsibilities outlined in the job description. We appreciate a personal touch!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about wanting to be part of our amazing team at Roku!
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, especially Apache Spark and Apache Airflow. Brush up on your knowledge of ScyllaDB and Aerospike too, as these are key to the role. Be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in software or data engineering. Highlight how you approached these problems, the solutions you implemented, and the impact they had. This will demonstrate your critical thinking and ability to work independently or collaboratively.
✨Understand the Business Context
Familiarise yourself with Roku’s mission and how the DMP team fits into the larger advertising ecosystem. Being able to articulate how your role as a Senior Software Engineer can contribute to their goals will show that you’re not just technically skilled but also aligned with their vision.
✨Prepare for Collaboration Questions
Since this role involves working closely with cross-functional teams, be ready to discuss your experience in collaboration and mentorship. Think of examples where you’ve successfully partnered with others, particularly in delivering integrated solutions, and how you’ve guided junior engineers in best practices.