Senior Software Development Engineer - Backend (Video Insights)

JioStar; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

JioStar is seeking a Senior Software Engineer in Bengaluru to design and build core backend systems powering live streaming workflows. You will own projects end-to-end, drive low-latency distributed architectures, and mentor teammates, delivering robust video intelligence features at scale.

You’ll collaborate with AI researchers, data engineers, and product managers to translate requirements into production-ready solutions while optimizing performance and cost.

Qualifications

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

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

Python

Java

C++

ML pipelines

Distributed systems

Cloud platforms

Data engineering

Software architecture

Communication

Education

Bachelor's/Master's in computer science or related field

Tools

Apache Spark

Kafka

Airflow

Hadoop

Job description

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