Staff Software Engineer - Data Platform Team, Hyderabad

Storytelling is, and will always be, the heart of what we do at Skydance.

Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.

Here, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day.

If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO!

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

Meet our Team

The Data and Audience Platform team sits within the Data & Analytics organization in 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 You'll 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 You'll 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.

What We Offer:

• A Great Place to work
• Equal opportunity employer
• Fast track growth opportunities

About Skydance

Skydance is a next-generation global media and entertainment company, comprised of three business segments: Studios, Direct-to-Consumer, and TV Media. Skydance's portfolio unites legendary brands, including Paramount, Warner Bros., HBO and HBO Max, Paramount+, Pluto TV, CBS, CNN, CBS Sports, TNT Sports, Nickelodeon, Cartoon Network, MTV, Food Network, BET, HGTV, and Comedy Central.

Some Important Details

We embrace 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. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable 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.