About this role
Description
Amazon’s Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. Our systems process billions of products to algorithmically find products not already sold on Amazon and programmatically add them to the Amazon catalog. We apply parallel processing, 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, 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.
Key job responsibilities
Work with senior Engineers to drive the technical and architectural vision of Selection Monitoring’s External E-commerce source discovery and enrichment.
Design, build and launch scalable, fault-tolerant, and highly available services and AI Agents that can solve complex problems in entity resolution, deduplication, classification, enrichments and 3rd party data integrations to automatically discovery, catalog, and refresh meta information and signals for millions of eCommerce websites worldwide.
Build and launch efficient storage solutions for managing large-scale datasets, ensuring optimal performance for both write-heavy ingestion and read-heavy analytical workloads.
Lead and mentor junior engineers, drive best practices around system design, coding standards, testability, operational excellence, and security for GenAI-integrated systems.
Drive operational excellence initiatives and continuously improve quality bar for software delivered by the team.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.