Senior Software Development Engineer

Job Summary:

As a Senior Software Engineer at JioStar, you will play a key role in designing and developing the core backend systems that power our live streaming workflows. You’ll own projects end-to-end, operate with a high degree of autonomy, and help shape the architecture and future direction of our low-latency, distributed systems.

Key responsibilities:

• Own the end-to-end development of video insights use cases, from requirement analysis through production deployment
• Design and implement feature pipelines that integrate video AI models with core platform services and data infrastructure
• Develop robust, scalable solutions for processing large volumes of video content using distributed systems and cloud platforms
• Collaborate with research scientists, data engineers, and product managers to refine use case specifications and success metrics
• Build comprehensive evaluation frameworks and dashboards to track feature performance, user satisfaction, and business impact
• Optimize video processing workflows for performance, cost, and latency while maintaining quality standards
• Mentor junior engineers and contribute to team knowledge sharing through documentation and technical discussions
• Drive continuous improvement through monitoring, profiling, and iterative optimization of deployed features

Skills and attributes for success:

• Expert-level proficiency in at least one of: Python, Java, or C++ with strong software engineering fundamentals
• Hands-on experience building and deploying end-to-end ML pipelines in production environments
• Solid understanding of video processing technologies, including codecs, containers, and streaming protocols (HLS, DASH)
• Experience with large-scale distributed systems, big data platforms (Spark, Hadoop), and cloud infrastructure (AWS/GCP/Azure)
• Strong foundation in software architecture, system design, and building scalable, maintainable systems
• Proficiency with data engineering tools and frameworks (Apache Spark, Kafka, Airflow, or equivalent)
• Understanding of ML fundamentals including model evaluation, feature engineering, and debugging ML systems
• Experience working with video or image data processing at scale
• Excellent problem-solving skills and ability to take ownership of complex technical challenges
• Strong communication skills and ability to collaborate across technical and non-technical teams