At a Glance
- Tasks: Design and build APIs, develop data pipelines, and collaborate with cross-functional teams.
- Company: Join Roku, the leading TV streaming platform transforming how the world watches TV.
- Benefits: Enjoy competitive salary, mental health support, flexible remote work, and comprehensive benefits.
- Other info: Be part of a unique culture focused on collaboration, innovation, and problem-solving.
- Why this job: Make a real impact in the fast-paced world of TV streaming and analytics.
- Qualifications: 10+ years in software development, expertise in API and Big Data engineering.
The predicted salary is between 70000 - 90000 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. 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.
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.
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 & Mentorship: Partner with data scientists, 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:
- 10+ years professional software development experience.
- Experience building highly scalable, low‑latency REST services and API frameworks.
- Able to efficiently write SQL queries and analyze results to explore business problems and inquiries.
- Ability to translate queries and reporting requirements into production‑level data processing pipelines.
- Proficient in day‑to‑day use of Python / Java / Scala.
- Strong understanding of and experience with distributed computing frameworks like Hive/Hadoop and Apache Spark.
- Expertise in data modeling, schema design, and data visualization tools.
- Experience working in GCP and/or AWS is a plus.
- Experience with JavaScript, Node.js and React is nice to have.
- Experience deploying services on Kubernetes is a plus.
- Knowledge of CI/CD pipelines, DevOps practices, and infrastructure‑as‑code tools (e.g., Terraform) is a plus.
- Background in computer science or similar quantitative field.
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, 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 - Advertising Engineering in Manchester 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 in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Roku. Use LinkedIn to connect and engage with them. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub, make sure it’s up to date. Share projects that highlight your API development and big data expertise. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview like it’s game day! Research Roku’s products and culture. Be ready to discuss how your experience aligns with their mission and the role. Confidence and knowledge go a long way!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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 in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with API development and big data engineering. We want to see how your skills align with our mission at Roku, so don’t hold back on showcasing your relevant projects!
Showcase Your Collaboration Skills: Since teamwork is key for us, emphasise any past experiences where you worked closely with cross-functional teams. Mention specific projects where you partnered with product managers or data scientists to deliver high-impact solutions.
Highlight Your Technical Expertise: Be sure to detail your proficiency in technologies like Spring Boot, Apache Spark, and Airflow. We’re looking for someone who can hit the ground running, so include examples of how you've used these tools in your previous roles.
Apply Through Our Website: We encourage you 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 shows you’re keen on joining our team at Roku!
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 Spring Boot, Apache Spark, and Airflow. 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 teamwork is key at Roku, prepare examples of how you've successfully collaborated with cross-functional teams. Highlight any experiences where you partnered with data scientists or product managers to deliver high-quality solutions.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Practice coding problems related to API development and data pipelines. Be ready to explain your thought process and how you approach problem-solving in a collaborative environment.
✨Demonstrate Your Passion for Innovation
Roku values independent thinkers who can innovate. Share your ideas on how AI could enhance advertising measurement or any other innovative thoughts you have about the industry. This shows you're not just a fit for the role but also aligned with their mission.