Senior Software Development Engineer - Backend (Video Insights)

Job Summary: As a Senior Software Development Engineer, you’ll build a world-class platform for our customers by solving complex technical problems and building systems that run at scale. You will play a critical role in developing code and solving problems independently while shaping our next-gen solutions that drive our company's mission forward. We seek candidates with a passion for crafting elegant code and building innovative software solutions.

About the team: You are a full-stack engineer who bridges the gap between AI research and real-world product impact. You have excellent software development skills and a strong background in machine learning systems, video processing, and product engineering. You thrive in translating complex AI capabilities into tangible features that solve user problems. You constantly strive to drive end-to-end ownership of features – from conception to production – and understand the importance of both technical excellence and user impact.

The pace of our growth is incredible – if you want to build and own impactful video intelligence features at scale, join us!

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

Preferred education and experience::
• Bachelors/master's in computer science or a related field with 4–6 years of experience in backend development

About Us
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 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.