Sr Member Technical Staff

Nielsen Sports; Bengaluru; Sur place; INR 3 000 000 - 5 000 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Growth opportunities

Collaborative environment

Résumé du poste

Gracenote, the content data division of Nielsen, seeks a lead engineer for the In-stream Video Intelligence team. You will build a next-generation metadata platform, enabling machines to understand video content with AI-driven scalability and reliability.

You will own full-stack design, deliver production-grade services on AWS, and mentor peers while collaborating across frontend, backend, and data teams to drive end-to-end outcomes.

Qualifications

• Bachelors or Masters in Computer Science, Engineering, or related field.
• 6–10 years of professional software development experience.
• Strong proficiency in Python, Java, or Go.
• Solid fundamentals in data structures, algorithms, concurrency, and distributed systems.

Responsabilités

• Own end-to-end problems across frontend, backend, and AWS infra.
• Design and operate scalable, reliable systems processing high volumes of video data.
• Integrate state-of-the-art models (LLMs, VLMs) into production pipelines.
• Ship end-to-end, iteratively and fast, using AI coding assistants.
• Build cloud-native, event-driven services on AWS with messaging/streaming (Kinesis, SQS).
• Mentor peers and help shape team practices.

Connaissances

Python

Java

Go

Distributed systems

RESTful APIs

Microservices

Event-driven design

AWS

AI-native SDLC

AI coding assistants

Formation

Bachelor's or Master's in CS/Engineering

Outils

Docker

Kubernetes

AWS

CI/CD

Description du poste

Gracenote, the content data division of Nielsen, powers innovative entertainment experiences for leading media companies worldwide. Our advanced entertainment metadata and connected IDs enable seamless content navigation and discovery, helping consumers connect to the content they love and explore new favorites. With a global presence, Gracenote delivers both global and localized video, audio, automotive, and sports content solutions across the Americas, Asia-Pacific, Europe, the Middle East, and Africa. Some of the biggest names who trust Gracenote include Jio, Amazon, NBC, BMW, Mercedes-Benz, Samsung, and Sony.

We are seeking talented engineers to join our Gracenote Tech team, from mid-level to senior. The ideal candidate cares about clean, well-designed code and can independently drive implementation from design through delivery.

Job Purpose:

As a lead engineer on our In-stream Video Intelligence (ISVI) team, you will build the next-generation metadata platform that gives machines a rich, structured understanding of video content, combining strong engineering with state-of-the-art AI. You will create high-performance applications with a platform-first mindset, where scalability, consistency, and reliability sit at the core of every decision.

Key

• Own problems end to end across the full stack, from frontend and backend to AWS infrastructure and the software-AI boundary. We have no pure-play specialists.
• Design and operate scalable, reliable systems that process high volumes of video data with speed and accuracy.
• Integrate state-of-the-art foundational and open-weight models (LLMs, VLMs, vision AI) into production pipelines to extract structured understanding from video.
• Ship end to end, iteratively and fast, using AI coding assistants as part of your daily workflow.
• Build cloud-native, event-driven services on AWS with messaging and streaming systems (e.g., Kinesis, SQS) for high-throughput, asynchronous workloads.
• Turn ambiguous problems into clear technical designs and working software.
• Raise the engineering bar, mentor peers and help shape team practices.

Qualifications

• Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• 6 -10 years of professional software development experience.
• Strong proficiency in a modern programming language such as Python, Java, or Go.
• Strong computer science fundamentals: data structures, algorithms, concurrency, and distributed systems.
• Solid grasp of RESTful APIs, microservices architecture, and event-driven design.
• Experience across a range of data stores: relational, NoSQL, graph, and vector databases.
• Hands-on experience with cloud-native development (AWS preferred), containerization and orchestration (Docker, Kubernetes), and CI/CD practices.
• Fluency with an AI-native SDLC, using AI coding assistants and agentic tooling as a core part of how you design, build, and ship.

Nice to Have:

• Experience building and scaling systems at fast-paced startups and/or tech product companies, with real exposure to the complexities of scale.
• Applied AI exposure: vector embeddings, LLMs, VLMs, vision AI, and MLOps.
• Experience processing large-scale media (video/audio) or other high-volume data pipelines.

What we Offer

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• A collaborative and inclusive work environment.