Warner Bros. Discovery
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Hyderabad · On-site · 10-13 Yrs · Aug 21
Film Production · 10000+ Employees · New York, US
Every great story has a new beginning. We're excited to announce that Discovery and WarnerMedia have combined to become Warner Bros. Discovery. We're 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, sports, news, streaming and gaming. Our mission is simple. To be the world’s best storytellers with world-class products for consumers.
Hiring: Engineering
What employees say
+ It's good company to working here.
− They give so much pressure
More reviews on the company profile.
Interview experience · SDE-intern
Interview was around 70 minutes, asked question from reactjs (it was there in my project), OOPs , java and 3 dsa question. Optimized code was needed, for 1 graph question just approach was sufficient.
Difficult difficulty · Bengaluru · 69 reports
More interview insightsJob description
Overview
Welcome to Warner Bros. Discovery… the stuff dreams are made of.
Responsibilities
- 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.
- 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.
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.
- Familiarity with MLOps tooling and modern AI/LLM frameworks.
- Background in media, streaming, or other high-volume consumer platforms.
Benefits
- A Great Place to work
- Equal opportunity employer
- Fast track growth opportunities
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