Staff Software Development Engineer (Backend) - Video Insights

3 months ago

Bengaluru, IndiaStaff+

Responsibilities

Own end-to-end development of video insights use cases from requirements analysis through production deployment.
Design and implement feature pipelines integrating video AI models with core platform services and data infrastructure.
Build scalable systems 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 cases, specifications, and success metrics.
Build evaluation frameworks and dashboards to track feature performance, user satisfaction, and business impact.
Optimize video-processing workflows for performance, cost, latency, and quality.
Monitor, profile, and iteratively improve deployed features.
Mentor junior engineers and contribute to documentation, knowledge sharing, and technical discussions.

7+ years of professional software engineering experience, including 3+ years working with production ML systems or AI-powered features.
Expert-level proficiency in Python or C++ with strong software engineering fundamentals.
Hands-on experience building and deploying end-to-end ML pipelines in production.
Experience with video processing technologies, including codecs, containers, and HLS or DASH streaming protocols.
Experience with large-scale distributed systems, big data platforms such as Spark and Hadoop, and cloud infrastructure such as AWS, GCP, or Azure.
Proficiency with data engineering tools and frameworks such as Apache Spark, Kafka, or Airflow.
Understanding of ML fundamentals including model evaluation, feature engineering, and debugging ML systems.
Experience processing video or image data at scale.
Strong software architecture and system design capabilities, problem-solving skills, ownership, and cross-functional communication.
Bachelor’s or master’s degree in computer science or a related field, or a BE/B.Tech in Computer Science, Electrical Engineering, or an equivalent qualification; MS or PhD is a plus.

501-1,000 employees

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