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 SDM 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 team, systems, and drive solutions from definition to launch to achieve results in a fast paced environment.
The SDM on this team will be playing a key role in defining charter/scope, executing, and delivering innovative solutions to drive complete and correct selection on Amazon's eCommerce platform world wide. 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 orchestration, automated insights, SLA management, large scale data processing, and distributed systems of cloud-scale.
Key job responsibilities As a member of the team, in this role, you will:
Work with Org leadership, Principal Engineers to define and drive the technical and architectural vision of Selection Monitoring’s mission-critical data aquisition systems.
Build and launch scalable, fault-tolerant, and highly available services that can solve complex problems in data integration, entity resolution, deduplication, and classification across heterogeneous data sources with varying quality and formats.
Build and launch efficient storage solutions for managing large-scale datasets, ensuring optimal performance for both write-heavy ingestion and read-heavy analytical workloads.
Build and grow a team of high performing SDEs, and be responsible and invested in career growth of your team members.
Drive operational excellence initiatives and continuously improve quality bar for software delivered by the team.
About the team 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. This team within Selection Monitoring is responsible for building our mission critical data acquisition and vending services that enable efficient and scalable discovery and monitoring of e-commerce universe.
Basic Qualifications
- 8+ years of leading the definition and development of multi tier web services experience
- 3+ years of engineering team management experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- Bachelor's degree
Preferred Qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
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