Staff Software Engineer - Data Platform Team, Hyderabad

About the Role The Data and Audience Platform team sits within the Data & Analytics organisation in WBD's Global Tech division and builds the data platform behind the company's streaming services and content businesses, including pipelines, data lakes, and serving infrastructure. The team is growing its presence in India, and the Staff Software Engineer will set technical direction for the systems that power both data and intelligence layers, working on core data platform projects and enabling AI and ML capabilities. This is a hands-on, high-leverage role involving architecture, coding, and raising the engineering bar across the organisation. Key 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. Required Experience & Qualifications 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. Preferred Skills 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 & Perks A Great Place to work Fast track growth opportunities The Application Process The company's guiding principles are discussed during the interview. About the Company 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. #J-18808-Ljbffr Global Sports Jobs Limited