Staff Software Development Engineer - Data Platforms

7018 Jiostar India Private Limited; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

JioStar India Private Limited is seeking an experienced Staff Software Development Engineer in Data Platform to design, build, and optimize scalable data infrastructure handling hundreds of millions of RPM and petabytes of data daily.

You will lead architecture, implement real-time pipelines, and support AI/ML data needs across our platform, driving operational excellence and data governance across the organization.

Qualifications

• 8+ years of progressive experience in data engineering and large-scale data platforms.
• Experience with real-time streaming and high-throughput data systems.
• Strong programming in Python/Java/Scala/Go and production-grade data apps.
• Proficiency with distributed data processing frameworks (Spark, Flink).
• Experience building data pipelines for ML model training and AI agents.

Responsibilities

• Design and architect scalable data platforms and pipelines.
• Build real-time data ingestion and processing systems.
• Develop data foundations for AI/ML initiatives and MCP server.
• Ensure data quality, monitoring, and operational excellence.

Skills

Programming languages

Distributed data processing

Cloud platforms

Data modeling

Data governance

Tools

Apache Spark

Apache Flink

Apache Kafka

Kinesis

Airflow

Job description

Job Summary: As a seasoned Staff Software Development Engineer in Data Platform team you will be at the forefront of designing, building, and optimizing the critical data infrastructure that handles hundreds of millions of requests per minute (RPM) for our ingestion services, processes billions of events daily from Kafka, and manages petabytes of data stored in S3. You will leverage your deep expertise to architect and deliver highly scalable, reliable, and performant data solutions that directly impact our global user base and drive our strategic initiatives.

About the team: Data platforms team at JioHotStar is building the next generation of AI-powered experiences and autonomous agents, leveraging our vast data to create truly innovative products. Beyond traditional data engineering, you'll be instrumental in developing the data foundations for our AI initiatives, including the development of our own MCP server and the infrastructure supporting our cutting-edge AI Agents.

Key Responsibilities:

• Core Platform Development Architecture & Design: Build POCs, create architecture designs, and evaluate trade-offs for new services and migrations
• Real-time Data Pipeline: Build and maintain highly scalable, accurate, clean and real-time events collection systems
• Data Foundation for AI & MCP: Specifically design and build data pipelines to support the development and training of AI models and autonomous AI Agents. This includes creating robust data infrastructure for our MCP, ensuring data quality and availability for personalized learning paths and skill validation.
• Data Quality Assurance: Continuously work towards detecting, alerting, and fixing quality issues to build trust in our data
• System Enhancement: Improve existing systems and services using latest tooling and engineering standards
• Cost Optimization: Improve unit economics across ingestion, storage, and processing components
• Technical Leadership & Ownership Complete Development Lifecycle: Own the entire development process from ideation to deployment
• Cross-functional Collaboration: Work closely with different teams to achieve common goals through efficient coordination
• Technical Documentation: Maintain up-to-date documentation with architecture diagrams for entire projects
• Service Ownership: Take complete ownership of services within your workstream and drive continuous improvement
• Operational Excellence: Establish and maintain robust monitoring, alerting, and operational procedures for mission-critical data systems.
• Team Leadership & Growth Knowledge Sharing: Write blogs and articles to help team members and the community
• Architecture Breakdown: Break down high-level architecture into manageable services and tasks
• Technology Trends: Learn and share new trends in technology, engineering, and productivity
• Team Productivity: Actively work towards improving team productivity and knowledge
• Mentorship: Guide and mentor junior team members
• Business Impact Data Governance: Govern data assets across the entire company and audit data posture
• Time to Insight: Reduce time to insight for data team stakeholders
• Business Decision Support: Assist and challenge business decisions using data insights
• Stakeholder Service: Make data available to all stakeholders in an efficient, quick quarriable, and intuitive manner

Skills and attributes for success:

• Experience: 8+ years of progressive professional experience in data engineering, with a proven track record of designing, building, and operating large-scale, high-throughput data platforms, ideally in a consumer-facing or streaming industry.
• Extreme Scale Experience: Demonstrated experience working with data systems that handle hundreds of millions of events/requests per minute, billions of daily events, and petabytes of storage (e.g., S3, HDFS).
• Programming: Strong proficiency in at least one major programming language such as Python, Java, Scala, or Go, with a focus on building robust, production-grade data applications.
• Distributed Data Processing: Deep expertise and practical experience with distributed data processing frameworks like Apache Spark, Apache Flink, or equivalent technologies for batch and streaming workloads.
• AI/ML Data Experience: Specific experience in building data pipelines for Machine Learning model training, inference, and feature stores. Familiarity with data needs for AI Agents or similar intelligent systems.
• Messaging & Streaming: Extensive experience with high-throughput messaging queues and stream processing platforms like Apache Kafka, Kinesis, or equivalent.
• Cloud Platforms: Hands-on expertise with at least one major cloud platform (AWS, GCP, or Azure) and their data-related services, with a strong preference for AWS (S3, EMR, Kinesis, Glue, Redshift, etc.).
• Data Warehousing/Lakes: Strong understanding and hands-on experience with modern data warehousing concepts and data lake architectures (e.g., Snowflake, BigQuery, Redshift, Delta Lake, Iceberg, Hudi).
• ETL/Orchestration: Expertise in building, optimizing, and orchestrating complex ETL/ELT pipelines using tools like Apache Airflow, Prefect, or other workflow management systems.
• Databases: Strong SQL skills and experience with both relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Cassandra, DynamoDB).
• Data Modeling: Advanced data modeling skills (dimensional, Kimball, data vault) for large, complex datasets.
• Problem-Solving: Exceptional analytical and problem-solving abilities, with a proven track record of debugging and optimizing complex distributed systems.
• Communication: Excellent communication, collaboration, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
• Mentorship: Proven ability to mentor, guide, and technically lead senior and junior engineers.

Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media & entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.

JioStar India Private Limited (formerly known as Star India Private Limited) is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.