Staff Software Engineer - Data & Audience Platform Team

Staff Software Engineer (Data & Audience Platform Team), Hyderabad

Meet our Team

The Data and Audience Platform team sits within the Data and 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 Youll 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 Youll 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.