Job Description
Architect and operate backend services for core ad decisioning: Design and build scalable, modular backend frameworks for targeting, frequency management, pacing, and policy enforcement. Design APIs and data models: Create clean, scalable interfaces and data schemas that enable seamless interoperability across the Ad Platform ecosystem. Optimize high-throughput serving: Build services that manage ad selection and delivery consistency, ensuring low-latency performance in high-traffic, distributed environments. Drive operational excellence: Implement SLO-driven development and proactive capacity planning, and own the incident response lifecycle for the core serving stack. Instrument platform reliability: Develop comprehensive diagnostics, logging, and telemetry frameworks to ensure deep observability into system health and reliability. Maintain ad-tech domain expertise: Utilize deep knowledge of advertising concepts (publisher policies, frequency caps, targeting) to ensure the platform meets industry standards and business requirements. 7+ years of experience, with at least 4+ years in the Ads domain. Expertise in building and operating highly-available, distributed systems at massive scale. Hands-on experience building core ad server components: decisioning logic, ad selection, pacing, ranking, scoring, and frequency capping. Deep understanding of ad-tech ecosystem standards and business requirements (e.g., targeting, policy enforcement, and frequency management). Proven ability to design scalable APIs and data models that support complex, multi-service ecosystems. Strong communication skills with the ability to partner effectively with cross-functional product and engineering teams. Experience working in the CTV space and familiarity with its unique delivery constraints. Expertise in high-throughput data processing systems and telemetry frameworks for large-scale production environments. Familiarity with cloud-native infrastructure, deployment automation, and SLO-driven development.