Responsibilities

Own engineering problems end to end across frontend, backend, AWS infrastructure, and the software-AI boundary.

Design and operate scalable, reliable systems that process high volumes of video data.

Integrate foundational and open-weight LLMs, VLMs, and vision AI into production pipelines.

Build cloud-native, event-driven AWS services using messaging and streaming systems such as Kinesis and SQS.

Translate ambiguous problems into technical designs and production software.

Mentor peers, raise engineering standards, and help shape team practices.

Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
6–10 years of professional software development experience.
Strong proficiency in Python, Java, or Go.
Solid foundations in data structures, algorithms, concurrency, and distributed systems.
Experience with RESTful APIs,



microservices architecture, and event-driven design.
Experience with relational, NoSQL, graph, and vector databases.
Hands-on experience with AWS or comparable cloud-native development, Docker, Kubernetes, and CI/CD practices.
Fluency with AI-native software development using AI coding assistants and agentic tooling.
Preferred experience scaling systems at startups or technology product companies.
Preferred exposure to vector embeddings, LLMs, VLMs, vision AI, MLOps, and large-scale media or high-volume data pipelines.

Perks

Market-competitive salary and benefits package.

Professional growth and development prospects.

Cooperative and inclusive work environment.

📌 Senior Database Technical Specialist Bengaluru (India)
🏢 Nielsen
📍 India