Senior Software Engineer - Advertising Analytics

Teamwork makes the stream work. Keystone AI is changing how the world watches TV Keystone AI 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. Keystone AI 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 Keystone AI, 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 Keystone AI’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 & 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 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, and 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. (preferred) Experience in AdTech, in advertising data platforms and campaign measurement. (preferred) Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred) 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). #LI-GL1 What's Keystone AI's approach to hybrid working? Keystone AI 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. What are some of the benefits? Keystone AI 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 Keystone AI 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@Keystone AI.com . What should I know about Keystone AI's culture? Keystone AI 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 Keystone AI 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. To learn more about Keystone AI, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet . By providing your information, you acknowledge that you want Keystone AI to contact you about job roles, that you have read Keystone AI's Applicant Privacy Notice , and understand that Keystone AI will use your information as described in that notice. If you do not wish to receive any communications from Keystone AI regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Keystone AI.com .