Senior Software Developer

Role: Senior Fullstack Developer

Experience Level: 3 to 5 Years

Work location: Mumbai, Bangalore & Trivandrum

Notice Period: Immediate Joiner(0-15 days/Serving NP)

Key Result Areas

The Senior Full Stack Developer will serve as the core technical lead for an AI-driven platform for video response analysis, responsible for architecting and developing an AI-driven platform for video response analysis and highlight reel generation. You will lead the development of end-to-end scalable web applications using .NET and ReactJS, ensuring high performance and seamless integration with GCP-based cloud infrastructure to handle complex video content creation workflows.

Role & Responsibilities:

• Technical Leadership - Lead the design, development, and deployment of the platform, ensuring robust code quality and adherence to best engineering practices for media-heavy applications.
• Full Stack Development - Build responsive interfaces with ReactJS and efficient .NET Core back-end services, specializing in scalable microservices that support high-volume video data processing.
• AI & Media Integration - Integrate AI-driven analysis pipelines for transcription, sentiment analysis, and theme extraction while designing workflows for video clipping, stitching, rendering, and metadata management.
• Cloud & Infrastructure - Optimize GCP resources and manage CI/CD pipelines to ensure the security and scalability of the platform's AI/ML service integrations.
• Collaboration - Work with product and UX teams to translate business requirements for video analysis and exploration into technical specifications and high-quality platform features.

Skills expectation:

• Expertise in .NET Core/Framework and ReactJS, with a proven track record of developing full-stack web applications.
• Hands-on experience with Google Cloud Platform (GCP) services such as App Engine, Cloud Functions, and BigQuery.
• Strong understanding of database management (SQL/NoSQL), RESTful APIs, and modern DevOps practices including Docker and Kubernetes.

Qualification:

Bachelors or Masters degree in Computer Science, Information Technology, or a related field.Role & responsibilities