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Warner Bros.

Staff Software Engineer (DE, Backend, Gen AI), (C360 Team) – Hyderabad

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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 (DE, Backend, Gen AI), (C360 Team) – Hyderabad

About Warner Bros. Discovery

Warner Bros. Discovery 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 batch and streaming data processing solutions.

  • Experience with distributed processing frameworks such as Apache Spark, Apache Flink, or similar.

  • Experience leveraging AI-powered engineering tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Gemini, or similar platforms for code generation, debugging, testing, documentation, and improving developer productivity.

  • Experience developing and supporting production ML workflows, including feature engineering, feature stores, feature pipelines, model deployment, and operationalization.

  • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.

  • Strong understanding of MLOps principles and tools, including MLflow, Databricks ML, AWS SageMaker, model monitoring, data validation, model versioning, and CI/CD for machine learning.

  • Strong expertise in SQL, Spark SQL, Hive, and related query technologies.

  • Experience with cloud data warehouses such as Snowflake or Amazon Redshift.

  • Experience with NoSQL databases such as Cassandra or DynamoDB is a plus.

  • Experience working with PostgreSQL, Elasticsearch, and other modern data storage technologies.

  • Hands-on experience with streaming platforms such as Kafka, Amazon Kinesis, Pulsar, or similar.

  • Strong experience developing cloud-native applications on AWS.

  • Good understanding of cloud architecture, security best practices, and scalable application design.

  • Experience designing and building microservices and deploying containerized applications using Docker and Kubernetes (EKS preferred).

  • Experience implementing Infrastructure as Code (Terraform).

  • Expertise in CI/CD pipelines using GitHub Actions or similar tools.

  • Proficiency with Git/GitHub and modern software engineering best practices.

  • Experience with analytics and visualization tools such as Looker or Tableau is preferred.

Soft Skills

  • Strong interpersonal, communication, organizational, and presentation skills.

  • Ability to understand business goals and translate them into technical solutions.

  • Passion for learning, teaching, and mastering emerging technologies.

  • “Go above and beyond” attitude with strong ownership and resource-management skills.

What We Offer

  • A great place to work.

  • Equal opportunity employer.

  • Fast-track growth opportunities.

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If 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 your request.