Job Summary:

As an SSDE, you will design and build high-performance services that power mission-critical ad delivery, targeting, and measurement systems across JioStar's platform. You will operate at the intersection of scale, reliability, and real-time decisioning - supporting live sports, premium entertainment, and personalized experiences for millions of users. This is a high-ownership, high-impact role best suited for engineers passionate about building for scale and business impact.

About the Team:

JioStar’s Ad Platform is among the top video advertising platforms in India - and we’re aiming higher. With deep expertise across Video-On-Demand, Live Sports, and Ad Monetization, our vision is to build the most effective and scalable adtech ecosystem in the world.
Our engineering team builds across the full adtech stack - from high-throughput backend services to deeply integrated, high-impact ad experiences on client platforms. Name a technology, and chances are we’ve worked with it. But more than the tools, it’s the problems we solve that make the work exciting.
If you’re excited about building fast, learning continuously, and working on a product that sits at the center of content, monetization, and user experience, we’d love to talk.

Key responsibilities:

Design, develop, and maintain large-scale data pipelines to support Ads reporting, attribution, and analytics use cases
Work extensively with Hive, Spark, SQL, Scala, and Kafka to process and manage petabyte-scale datasets
Optimize data workflows for performance, scalability, and cost efficiency
Partner with data scientists, product managers, and platform engineers to deliver high-quality, reliable datasets and APIs
Ensure data quality, integrity, and consistency across multiple data sources
Troubleshoot and resolve issues in real-time streaming pipelines and batch data jobs
Continuously evaluate new technologies to enhance the Ads Data platform

Skills and attributes for success:

Strong programming experience in Scala (preferred), Java, or Python
Hands-on experience with Apache Spark (batch & streaming) for large-scale data processing
Proficiency in Hive, SQL, and data modeling for analytical workloads
Experience working with Kafka for real-time event streaming
Solid understanding of Big Data ecosystems (S4, Hive, Presto, Delta etc.)
Strong debugging, performance tuning, and problem-solving skills
Bachelor’s or master’s degree in computer science, Engineering, or related field. Experience in AdTech, Attribution, or Campaign Analytics
Familiarity with cloud-based big data solutions (AWS EMR, GCP BigQuery, Databricks, etc.)
Familiarity with scheduling services like AirFlow
Knowledge of data governance, security, and compliance best practices

Preferred education and experience:

Bachelors/master's in computer science or a related field with 4-6 years of experience in backend development.