Staff Software Engineer - Data Platform Team, Hyderabad

For more information, please visit www.wbd.com.

Meet our Team

The Data and Audience Platform team sits within the Data & Analytics organization in WBD's Global Tech division. We build the data platform behind our streaming services and content businesses - the pipelines, data lakes, and serving infrastructure that turn billions of events into audience insights, personalization, and intelligent products. We're growing our presence in India and looking for a Staff Engineer to help shape the next generation of our platform, where data engineering and applied AI come together.

Role Overview

As a Staff Engineer on the Data and Audience Platform, you'll set technical direction for the systems that power both our data and our intelligence layers. You'll work on core data platform projects — building scalable, reliable infrastructure — while also enabling the ML and AI capabilities that run on top of it. This is a hands-on, high-leverage role: you'll architect systems, write code, and raise the engineering bar across the org.

What You'll Do

Drive the architecture and design of large-scale data platform systems — pipelines, data lakes, and serving infrastructure that process billions of events.

Build the foundations that power AI and ML: feature platforms, training data pipelines, and model-serving infrastructure.

Partner with data science and ML teams to productionize models and enable AI/GenAI-powered capabilities on top of the platform.

Set technical standards and best practices in data modeling, system design, reliability, and applied AI.

Mentor engineers and influence technical strategy and decisions beyond your immediate team.

What You'll Bring

10+ years of experience in software engineering, building and maintaining scalable software systems.

Extensive experience designing and shipping production-grade, large-scale data platforms.

Strong programming skills (e.g., Python, Scala, or Java) and deep knowledge of distributed data processing (e.g., Spark, Flink, Kafka).

Hands-on experience with cloud data infrastructure (AWS/GCP, data lakes, warehouses).

Practical experience enabling ML/AI in production - feature pipelines, model serving, or GenAI/LLM-based systems.

A track record of technical leadership: setting direction, driving cross-team initiatives, and mentoring engineers.

Nice to Have

Experience with real-time/streaming systems at scale.

Familiarity with MLOps tooling and modern AI/LLM frameworks.

Background in media, streaming, or other high-volume consumer platforms.

What We Offer:

A Great Place to work

Equal opportunity employer

Fast track growth opportunities

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 www.wbd.com/guiding-principles/ 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.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.