Your New Role:

The Staff Engineer reports to the Director Linear Systems. This position is accountable for designing and delivering scalable, cloud-native solutions that power our advertising technology stack that support thousands of users and billions of ad impressions monthly as well as works on the transformation of legacy broadcast and scheduling workflows into scalable, cloud-native systems that enable automation, efficiency, and interoperability across sales, operations, and distribution. This role defines engineering best practices, mentors peers, and ensures mission-critical platforms are reliable, performant, and cloud-optimized for scale.

Your Role Accountabilities: % Time Spent

Scalable APIs & Services

Design and deliver API-first, cloud-native services that enable real-time interoperability across WBD’s advertising stack, handling billions of impressions annually. 30%

Platform Modernization
Modernize legacy advertising tools into modular, cloud-native applications with 99.99% reliability, optimized costs, and seamless integration with converged platforms. 30%

Software Development & Integration
Build and maintain services for ad-serving, campaign management, and identity systems.
Develop APIs and integrations with third-party AdTech partners and data providers. 20%

Collaboration & Technical Guidance
Partner with product and operations teams to align technical solutions with business goals.
Share best practices and mentor junior engineers when needed. 10%

Data Engineering
Design and implement ETL pipelines and real-time data processing for ad performance, forecasting, and yield optimization.
Work with big data frameworks (Spark, Kafka) to handle large-scale datasets. 10%

·  Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

·  Engineering Expertise: 8+ years in software engineering, with exposure to AdTech or large-scale distributed systems.

·  Hands-On technical experience: Hands-on expertise with Java, Scala, or Python. Experience with cloud platforms (AWS/GCP/Azure). Strong knowledge of SQL and NoSQL databases. Familiarity with big data tools (Spark, Kafka) and streaming architectures.

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

·  AdTech Domain Knowledge: Familiarity with advertising workflows including forecasting, yield optimization, identity, and campaign execution.

·  Linear Systems Domain Knowledge: Experience with linear advertising, scheduling, trafficking, and broadcast operations platforms, including modernization into API-driven, cloud-native solutions.

• AI & Automation Systems Expertise: Demonstrated experience designing, building, and operating AI‑driven automation and agent‑based systems that integrate with large‑scale distributed platforms, enabling reliable tool execution, workflow orchestration, observability, governance, and measurable improvements in engineering and operational efficiency at scale.

·  Collaboration & Mentorship: Demonstrated ability to partner with data scientists, product, and platform engineering, while mentoring junior engineers.

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.