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Description

Amazon’s Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. Our systems process billions of products from millions of sources to algorithmically find products not already sold on Amazon and programmatically add them to the Amazon catalog. We apply parallel processing, AI/GenAI, machine learning and deep learning algorithms to evaluate products and brands in order to identify and prioritize products and brands to be added to Amazon’s catalog. The datasets produced by our team are used by teams across Amazon to improve: product information, search and discoverability, pricing, and delivery experience. Our work involves building state-of-the-art Information Retrieval (IR) systems to mine the web and automatically create structured entities from un-structure/semi-structured data. We constantly stretch the boundaries of large scale distributed systems, Elastic Computing, Big Data, Artificial intelligence and SOA technologies to tackle challenges at Amazon’s global scale.

Come join us in our journey to make everything – and yes, we do mean *everything* – that anyone wants to buy, available on Amazon!

We are looking for SDEs with strong technical knowledge, established background in engineering large scale software systems, and passion for solving challenging problems. The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from design to coding, testing, and deployment, to achieve results in a fast paced environment.

The SDE on this team will be playing a key role in defining charter/scope, executing, and delivering innovative solutions to build the eCommerce universe. Candidate needs to have a high sense of ownership, ability to take on ambiguous and ambitious goals, and lead a highly talented team to achieve results. This role would expose you to solving problems at scale in areas of LLM-based metadata extraction and classification, predictability at scale with priority-based orchestration, and building intelligent systems that use Agentic capabilities across eCommerce landscape.


Key job responsibilities
1. Design and build scalable enrichment platforms that leverage LLMs and process millions of websites daily.

2. Architect and implement multi-account, horizontally scalable infrastructure using AWS to achieve fault isolation, independent scaling, and priority-based request processing across distributed systems.

3. Build platform capabilities for prioritization and request management, enabling lane-based traffic routing with predictable SLA enforcement.

4. Lead and mentor junior engineers, drive best practices around system design, coding standards, testability, operational excellence, and security for GenAI-integrated systems.