Staff Software Development Engineer (Backend) Video Insights
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Summary:
Join our Video Insights team and own high-impact features that leverage cutting-edge video AI. Youll 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 thats shaping the future of video intelligence for millions of users.
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:
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/masters in computer science or a related field with 7-9 years of professional experience
- BE/ in Computer Science Electrical Engineering or equivalent. MS or PhD a plus
Required Experience:
Staff IC
About Company
JioStar combines the power of Reliance’s Viacom18 and Disney Star, delivering unmatched entertainment with 120+ TV channels and two leading streaming platforms. Explore a new era of content with JioStar.
