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Staff Software Engineer - Data Platform Team, Hyderabad

Warner Bros. Discovery · Hyderabad

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Collected role description

Role overview

Staff Software Engineer - Data Platform Team, Hyderabad at Warner Bros. Discovery

Responsibilities

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

Employment details

  • Location: Hyderabad [Telangāna] [India]

Additional role details

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

Collected experience requirement

10+ years