Software Dev Engineer II, Amazon, Selection Monitoring

Amazon is hiring a Software Dev Engineer II, Amazon, Selection Monitoring in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
The posting mentions AWS, Elasticsearch and Big Data among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.
Posted within the past week.

AI in this role

Design and build scalable services and AI agents for entity resolution, deduplication, and classification to scale Amazon's product catalog.

AWSElasticsearchBig Data

ai-agentsmachine-learningdeep-learninginformation-retrievaldistributed-systems

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.

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How we rate this

Software Dev Engineer II, Amazon, Selection Monitoring at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Dev Engineer II, Amazon, Selection Monitoring is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IN, KA, Bengaluru.
The job was posted on November 10, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsMachine learningDeep learningInformation RetrievalDistributed SystemsAWSElasticsearchBig Data

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where information retrieval was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, Machine learning, Deep learning, Information Retrieval, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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