Senior Software Engineer, Advertising Engineering in Manchester

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.

The Revenue Automation and Data team is a key part of Roku's Advertising organization, driving financial automation and data solutions that enable informed decision-making across the advertising ecosystem. We work in a fast-paced, complex environment and partner closely with Finance, Accounting, Analytics, and multiple engineering teams to deliver timely, high-impact insights into business performance. As we look ahead, we're investing in AI-powered capabilities to exponentially scale financial workflows and help non-technical stakeholders translate our diverse data assets into actionable outcomes.

We are seeking a highly skilled Senior Software Engineer for this hybrid position which bridges software 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 architect and maintain production-grade data products and APIs, leveraging technologies such as Java/Scala, SQL, Spark, Airflow, and Kubernetes to deliver reliable, high-performance solutions. You will collaborate with cross-functional partners across Finance, Accounting, and Analytics to translate complex business requirements into robust technical solutions. The role involves driving data quality and operational excellence across the full lifecycle of data pipelines and backend services. You will also contribute to the team's AI-powered initiatives, helping to scale financial workflows and unlock actionable insights from diverse data assets.

What are the responsibilities of the role?

• Software Development
  • Design and build APIs and backend services using Scala and Java to support financial automation and data products
  • 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
  • Optimise 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 minimise downtime and maximise efficiency
• Collaboration & Mentorship
  • Partner with analytics, software engineering, 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

What experience would help someone be successful in this role at Roku?

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark and Apache Airflow
• Advanced SQL skills, with expertise in query optimisation for large datasets
• Expertise in developing APIs and robust backend services, with strong programming skills in Python, Java, and/or Scala
• Exceptional problem-solving abilities and the capacity to work independently or collaboratively
• Excellent verbal and written communication skills
• Strong sense of ownership in driving projects from inception to user adoption
• Experience with cloud platforms such as AWS, GCP, or Azure, and containerisation tools like Docker and Kubernetes (preferred)
• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools such as Jenkins and Terraform (preferred)
• Experience with building agentic AI systems to automate decision-making and enhance analytics workflows (preferred)
• Experience in AdTech and advertising data platforms (preferred)

Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.

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.

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 accordingly.

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 appreciate a sense of humor and believe that 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.