Sr Software Development Engineer, Selection Monitoring
This position is no longer accepting applications(closed Aug 27, 2026).
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 good 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 Sr. SDE on this team will be playing a key role in solving complex problems and building innovative solutions to drive comprehensive selection on Amazon platform. Candidate needs to have a high sense of ownership, ability to develop end to end solutions and improve customer experience. This role would expose you to solving problems of scale in the areas of distributed systems of cloud-scale, large scale data processing, Agentic AI.
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 acquisition systems.
Lead the design and development of integrations with other internal systems and 3rd Party solutions for web-content fetching at scale.
Lead the design and development of solutions for efficient storage and vending of products and related information.
Design and development Agentic AI solutions for automating complex web interactions, issue triaging, and recoveries.
Lead and mentor engineers, and drive best practices using AI driven SDLC around design, coding, testability, and security.
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 good 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 Sr. SDE on this team will be playing a key role in solving complex problems and building innovative solutions to drive comprehensive selection on Amazon platform. Candidate needs to have a high sense of ownership, ability to develop end to end solutions and improve customer experience. This role would expose you to solving problems of scale in the areas of distributed systems of cloud-scale, large scale data processing, Agentic AI.
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 acquisition systems.
Lead the design and development of integrations with other internal systems and 3rd Party solutions for web-content fetching at scale.
Lead the design and development of solutions for efficient storage and vending of products and related information.
Design and development Agentic AI solutions for automating complex web interactions, issue triaging, and recoveries.
Lead and mentor engineers, and drive best practices using AI driven SDLC around design, coding, testability, and security.