Senior Software Engineer (Ads Auction Platform)

Requirements

• Experience building distributed backend services at scale
• Strong coding skills in Java and familiarity with service-oriented architectures
• Experience with low-latency systems and real-time decisioning workflows
• Familiarity with cloud platforms and containerized deployments
• Working knowledge of ad tech concepts such as auctions, pacing, and frequency controls
• Experience collaborating with cross-functional stakeholders across product and data teams
• Comfort with experimentation frameworks and A/B testing analysis
• Strong problem-solving skills and a focus on reliability, observability, and maintainability

What the job involves

• In this role, you will contribute to the Ads Auction and Marketplace systems that optimize yield, gross profit, and real-time multi-objective outcomes across short- and long-term goals
• You will work on core auction capabilities, low-latency services, and scalable integrations that support Roku’s CTV advertising platform
• You will partner closely with Engineering, Inventory, Product, and Data Science teams to translate business objectives into robust technical solutions
• You will help design, implement, and evaluate auction improvements through experimentation and performance analysis
• This is a strong fit for an engineer who enjoys distributed systems, real-time decisioning, and measurable impact in a high-scale marketplace
• Contribute to the design and implementation of real-time ads auction systems for Roku’s CTV advertising platform
• Build and improve auction features including ad pod construction, bid evaluation, ranking, pricing, pacing, and frequency capping
• Develop low-latency, reliable services that handle high-scale ad serving with strict performance and uptime requirements
• Implement auction logic that balances advertiser performance, publisher yield, and platform revenue
• Work on SSP-side auction integration with DSPs, programmatic demand sources, and direct-sold campaigns
• Collaborate with product managers, data scientists, and researchers to translate requirements into scalable solutions
• Support yield optimization through auction enhancements, pricing experiments, and demand optimization features
• Participate in A/B testing and experimentation, analyze results, and help implement data-driven improvements
• Help ensure auction correctness and compliance with privacy, regulatory, and brand-safety requirements
• Contribute to technical discussions around architecture, scalability, and performance optimization

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