Staff Software Development Engineer (Backend) - Video Insights

Jio Star; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Jio Star in Bengaluru is seeking a Staff Software Development Engineer to join the Video Insights team. This role involves owning the development of high-impact features that leverage cutting-edge video AI.

The ideal candidate will have over 7 years of experience in software engineering, with expertise in Python or C++. You will design and implement systems that transform raw video into real user value and mentor junior engineers.

Qualifications

• 7+ years of professional software engineering experience, with 3+ years in production ML systems or AI-powered features.
• Expert-level proficiency in Python or C++.
• Hands-on experience building and deploying end-to-end ML pipelines.

Responsibilities

• Own the end-to-end development of video insights use cases.
• Design and implement feature pipelines that integrate video AI models.
• Develop robust, scalable solutions for processing large volumes of video content.

Skills

Python

C++

Machine Learning

Video Processing Technologies

Distributed Systems

Cloud Platforms

Education

Bachelor's or Master's in Computer Science

Tools

Apache Spark

Kafka

Airflow

Job description

## Staff Software Development Engineer (Backend) - Video InsightsApplylocations: Bengaluruposted on: Posted 5 Days Agojob requisition id: JR10078**Job Summary:** Join our Video Insights team and own high-impact features that leverage cutting-edge video AI. You'll build the systems that transform raw video understanding into real user value, working with large-scale data pipelines, distributed computing, and state-of-the-art ML models. This role offers the unique combination of deep technical challenges and visible user impact. Be part of a team that's shaping the future of video intelligence for millions of users.**About the team:** Join our Video CoE team and own the “face” of our next-generation video intelligence platform. You will build the interfaces that transform raw AI insights into actionable value for millions of users and internal experts alike. This role offers a unique opportunity to work at the intersection of high-scale video streaming, data science, and modern frontend architecture. Be part of a team that is shaping how users interact with and understand video content globally. **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:*** 7+ years of professional software engineering experience, with 3+ years in production ML systems or AI-powered features* Expert-level proficiency in at least one of: Python, 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 7-9 years of professional experience* BE/B.Tech in Computer Science, Electrical Engineering, or equivalent. MS or PhD a plus