Senior Software Engineer (Advertising Analytics)

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.

We are seeking a highly skilled Senior Software Engineer with deep expertise in API Development using Spring Boot and 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.

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.

• 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: Apache Druid, StarRocks, Trino.
• Strong understanding of SOLID principles and distributed systems architecture.
• Proven experience in distributed data processing, data warehousing, and real time data pipelines.
• Strong programming skills in Java, Python, or Scala.
• Advanced SQL skills, with expertise in query optimization for large datasets.
• Expertise in data modeling, schema design, and data visualization tools.
• Experience building highly scalable, low latency, APIs.
• Exceptional problem solving abilities and the capacity to work both independently and collaboratively as needed.
• Exceptional verbal and written communication skills.
• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes.
• Experience in AdTech, advertising data platforms and campaign measurement.
• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure as code tools such as Terraform.
• Experience with building Agentic AI systems to automate decision making and enhance analytics workflows.
• Bachelor's degree in computer science, engineering, or a related field (or equivalent experience).

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. Not every benefit is available in all locations or for every role. For details specific to your location, please consult your recruiter.

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 .