Staff Engineer, Cloud Engineer - Software

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

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 supports 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.

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

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

Build and maintain services for ad‑serving, campaign management, and identity systems.

Develop APIs and integrations with third‑party AdTech partners and data providers.

Partner with product and operations teams to align technical solutions with business goals.

Share best practices and mentor junior engineers when needed.

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.

• 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 No
  
  SQL 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.

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…