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Staff Software Engineer - Data & Audience Platform Team, Hyderabad

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Warner Bros. Discovery logoWarner Bros. Discovery · Hyderabad, India
Full-timeOn-site1d ago
AccessibilityAWSCore DataData ModelingGCPJava
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Responsibilities

  • 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.

Requirements

  • 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.

Benefits

A Great Place to workEqual opportunity employerFast track growth opportunitiesHow We Get Things Done...Championing Inclusion at WBDIf 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 y

Additional Information

Welcome to Warner Bros. Discovery... the stuff dreams are made of. Who We Are... 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. Staff Software Engineer (Data & Audience Platform Team), Hyderabad About Warner Bros. Discovery Warner Bros. Discovery is a premier global media and entertainment company, offering audiences the world's most differentiated and complete portfolio of content, brands, and franchises across television, film, streaming, and gaming. The new company combines Warner Media's premium entertainment, sports, and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. 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.


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