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.
This role is ideal for engineers who are passionate about solving complex backend challenges, building resilient systems at scale, and mentoring others toward engineering excellence.

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