Staff Software Engineer - Data & Audience Platform Team

V2 Solutions; Hyderabad; On-site; INR 3,000,000 - 4,800,000; Full time

Job summary

Warner Bros. Discovery in Hyderabad is seeking a Staff Software Engineer for the Data & Audience Platform team. You will set technical direction for systems powering data and intelligence layers, and write code across architecture, data processing, and platform infrastructure.

The role emphasizes hands-on engineering, cross-team collaboration, and mentorship to raise the bar across the organization.

Qualifications

• 10+ years of software engineering experience.
• Experience designing and shipping large-scale data platforms.
• Strong programming skills in Python, Scala, or Java.
• Hands-on with cloud data infrastructure (AWS/GCP).
• Experience enabling ML/AI in production.
• Technical leadership and mentoring.

Responsibilities

• Drive architecture and design of large-scale data platform systems pipelines, data lakes, and serving infrastructure.
• Build foundations for AI and ML feature platforms and model serving.

Skills

Python

Scala

Java

Distributed systems

Data engineering

ML/AI in prod

Leadership

Tools

Spark

Flink

Kafka

AWS

GCP

Job description

Staff Software Engineer (Data & Audience Platform Team), Hyderabad

Meet our Team

The Data and Audience Platform team sits within the Data and 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.

What Youll Do

• 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.

What Youll Bring

• 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.
• Nice to Have 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.