Software Development Engineer, Catalog Diagnostics (Agentic) & Analytics

At Amazon Selection and Catalog Systems (ASCS), our mission is to power the online buying experience for customers worldwide so they can find, discover, and buy any product they want. We innovate on behalf of our customers to ensure uniqueness and consistency of product identity and to infer relationships between products in Amazon Catalog to drive the selection gateway for the search and browse experiences on the website. We're solving a fundamental AI challenge: establishing product identity and relationships at unprecedented scale. Using Generative AI, Visual Language Models (VLMs), and multimodal reasoning, we determine what makes each product unique and how products relate to one another across Amazon's catalog. The scale is staggering: billions of products, petabytes of multimodal data, millions of sellers, dozens of languages, and infinite product diversity—from electronics to groceries to digital content.


Amazon's Item and Relationship Platform group is looking for an innovative and customer-focused software engineer to help us make the world's best product catalog even better. In this role, you will partner with technology and business leaders to build new state-of-the-art agentic diagnostics and Analytics services to provide transparency and explainability into every changes made in catalog and back the reasoning by data traceability. You will pioneer advanced GenAI / Agentic solutions that power next-generation agentic shopping experiences, working in a collaborative environment where you can experiment with massive data from the world's largest product catalog, tackle problems at the frontier of AI research, rapidly implement and deploy your algorithmic ideas at scale, across millions of customers.

We are looking for Software Development Engineers with strong technical foundations and a passion for solving complex problems at scale. You'll take ownership from design through coding, testing, and deployment—driving innovative solutions that grow selection on the Amazon platform and improve customer experience. Our engineers tackle big data challenges across web-scale data integration, entity and product matching, data quality improvement, natural language processing, and knowledge inferencing. You'll work closely with data and applied scientists to build state-of-the-art systems that automatically aggregate high-quality product data, identify selection gaps, and discover semantic relationships between products globally. This role exposes you to Agentic solutions, AI/ML, data traceability, data mining, and distributed cloud-scale systems. We partner across Amazon to deliver meaningful customer impact. If you thrive in fast-paced environments and want to push boundaries, we'd love to hear from you.

Key job responsibilities
* Formulate novel ways to solve foundational challenge in making an Agentic solution to attain maintain production grade accuracy, resilience and close loop problems at the intersection of GenAI, transactional systems operating at 100K TPS, and large-scale information retrieval—translating ambiguous business challenges into tractable scientific frameworks
* Design and implement leading Agentic framework and agentic architectures to solve product identity, relationship inference, and catalog understanding at billion-product scale
* Pioneer explainable AI methodologies that balance agent performance with scalability requirements for production systems impacting millions of daily customer decisions
* Own end-to-end data pipelines from ideation to production deployment—processing petabytes of multimodal data with rigorous evaluation frameworks
* Define product roadmaps aligned with business priorities, balancing foundational research with incremental product improvements
* Represent the team in the broader Analytics and Diagnostics community—influencing tech roadmaps for Big Data Technologies, peer teams, delivering tech talks, and staying at the forefront of GenAI, Analytics, and agentic system research

About the team
The Catalog Diagnostics and Analytics (CDA) team owns one of the largest data lakes within Amazon Retail, managing hundreds of petabytes through processing pipelines that push the boundaries of Amazon's technology infrastructure. We maintain foundational catalog datasets relied upon by 2000+ internal customers for day-to-day business decisions.

Our team pioneers data management technologies and architecture patterns across the organization, setting standards for others to adopt. We operate daily and hourly batch datasets alongside services processing catalog data at 100K TPS through a cost-effective micro-batch streaming architecture.

CDA also owns Catalog Diagnostics services that provide insight into catalog changes, enabling Amazon stakeholders to quickly identify and resolve catalog issues. We are building an agentic solution to automate and simplify catalog diagnostics—delivering transparency through data provenance and change audit trails that explain what changed, when, by whom, and why.

We are tackling foundational challenges in making agentic solutions production-ready, including full-cycle feedback loops, agent accuracy and evaluation frameworks, automated skill creation, and no-code testing and deployment lifecycle tooling.

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
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 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
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience with generative AI technologies and AI-native development practices, including prompt engineering, LLM integration, agentic architectures, and retrieval-augmented generation. Comfortable evaluating and applying AI tools to accelerate development workflows and deliver intelligent, scalable solutions.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.