The Sr. Staff, AdTech Full Stack Engineer reports to the Director, AdTech Engineering and is responsible for designing full-stack applications that support thousands of users and billions of ad impressions monthly.

This role defines engineering best practices, mentors peers, and ensures mission-critical platforms are reliable, performant, and cloud-optimized for scale.

Your Role Accountabilities :

- Scalable APIs & Services Design and deliver API-first, cloud-native services that enable real-time interoperability across WBDs advertising stack, handling billions of impressions annually.

- Platform Modernization Modernize legacy advertising tools into modular, full-stack cloud-native applications with 99.99% reliability, optimized costs, and seamless integration with converged platforms.

- User Experience & Advertiser Tools Deliver intuitive, responsive, and high-performance UIs that enhance productivity and decision-making for sales teams, directly improving the efficiency of multi-billion-dollar ad sales transactions.

- Delivery excellence Drive scalable, resilient, and high-performing engineering systems through deep expertise in CI/CD pipelines, DevOps practices, automated testing frameworks, observability tooling, and performance optimization, enabling faster delivery cycles and improved system reliability.

Qualifications & Experience :

- Education : Bachelors or Masters degree in Computer Science, Engineering, or related technical discipline.

- Full-Stack Expertise : 12+ years of experience in enterprise-scale full-stack engineering, with expertise in modern front-end frameworks (React, Angular, Vue) and back-end technologies (Java, Node.js, Python, Go).

- Cloud & APIs : Strong knowledge of cloud-native development (AWS, GCP, Azure), microservices, and API-first design.

- AdTech Domain Knowledge : Familiarity with campaign management, ad trafficking, forecasting, identity, and yield optimization workflows.

- User-Centric Design : Track record of building user-friendly, high-performance interfaces tied to complex data and monetization workflows.

- Operational Excellence : Proficiency in CI/CD, DevOps, automated testing, observability, and performance optimization.

- Collaboration & Communication : Ability to partner with product, sales engineering, and data teams to deliver revenue-focused solutions.