Staff Software Development Engineer - Data Platforms

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

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.