Staff Software Engineer (DE, Backend, Gen AI)

Welcome to Northwind Robotics... 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 (DE, Backend, Gen AI), (C360 Team) - Hyderabad About Northwind Robotics Northwind Robotics is a premier global media and entertainment company offering audiences the world's most diverse portfolio of content, brands, and franchises across television, film, streaming, and gaming. The company combines WarnerMedia's premium entertainment, sports, and news assets with Discovery's leading non-fiction and international entertainment businesses. For more information, please visit www.wbd.com Meet Our Team The Consumer 360 (C360) team consists of data engineers, software engineers, data scientists, and ML engineers. We ingest, analyze, and structure Big Data about our customers and prospects-their lifestyles, preferences, content behavior, and demographics-to enable targeted advertising, boost engagement, drive subscriptions, and reduce churn. Role Overview We are seeking a highly motivated and hands-on Staff Software Engineer to provide technical leadership while actively contributing to the design and development of scalable cloud-based data products and services. In this role, you will work closely with Architects, Data Scientists, ML Engineers, Product Managers, Software Engineers, and Senior Leadership to build mission-critical data solutions using modern cloud technologies, Agile methodologies, and engineering best practices. A primary focus of this position is building and scaling Data Clean Room integrations and privacy-preserving collaboration capabilities that support Advertising Sales and other high-visibility revenue stakeholders. Roles & Responsibilities Lead the technical design and implementation of major platform enhancements and new product capabilities. Produce clear, scalable, and actionable technical designs while guiding execution across multiple teams. Design complex architectures and system components that solve business problems using pragmatic, maintainable, and scalable engineering solutions. Establish and promote engineering standards, best practices, and architectural principles across teams. Serve as a technical mentor and multiplier by elevating engineering quality and fostering technical excellence. Design, develop, and maintain cloud-based data services that power Data Clean Room workflows, including onboarding, policy enforcement, audience overlap analysis, measurement, and activation. Engineer and own complex data transformation, cleansing, imputation, and preparation processes to ensure high-quality downstream analytics, machine learning, and reporting. Build privacy-safe collaboration capabilities such as audience overlap analysis, attribution modeling, conversion measurement, and lookalike audience modeling through scalable APIs and reusable platform services. Partner closely with business stakeholders to understand challenges and translate requirements into scalable technical solutions. Collaborate with Data Science, Analytics, and Engineering teams to deliver data-driven and ML-powered products. Provide guidance on data architecture, governance, and platform design decisions. Build highly reliable, secure, observable, and scalable production systems. Contribute to operational readiness, monitoring, incident management, and support processes. Participate in on-call rotations and incident response activities where applicable. Drive continuous improvements in platform performance, reliability, scalability, and maintainability. What You Will Need Bachelor's degree in Computer Science, Engineering, or a related field. 9-13 years of experience in Software Engineering, Data Engineering, Machine Learning Engineering, or a related discipline. Proven ability to thrive in a fast-paced, agile, and collaborative environment. Strong programming expertise in Python and/or Java . Prior experience building data platforms or ML solutions in AdTech, MarTech, Digital Advertising, or Customer Data Platforms (CDPs) is highly desirable. Hands-on experience with Apache Spark, Databricks, and Apache Airflow . Experience designing and building scalable, cloud-native data platforms, data pipelines, and distributed data processing systems. Strong understanding of distributed systems and large-scale data processing architectures. Expertise in building high-volume ba