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# Software Development Engineer, 3PX Analytics & Insights

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Salary:** $143,700.0 - $213,800.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Software Applications, C Sharp (Programming Language), C++ (Programming Language), Code Review, Computer Programming, Information Engineering, Decision Support Systems, Software Design Patterns, Perl (Programming Language), Interaction Design, Machine Learning, Object-Oriented Software Development, Software Engineering, Multithreading, Application Enhancement Tool, Large Language Models, Generative AI, Build Management, Core Data, Information Technology, Build Process, Software Coding, Software Version Control, Data Pipelines
- **Published:** September 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=92d104f680b5332f

## About the Role

* 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, * 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 Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

## Description

We're looking for a Software Development Engineer to join the Analytics & Insights team within AWS Global Deal Strategy & Programs (GDSP). In this role, you'll design and build scalable, AI-integrated analytics platforms and seller-facing tools that power data-driven decision making across AWS's global sales organization. You'll work across the full stack, from data pipelines and APIs to interactive dashboards and conversational AI agents, delivering solutions that serve thousands of AWS sellers, managers, and leaders. The ideal candidate is passionate about building at the intersection of data engineering and Generative AI, thrives in a fast-paced environment with high ownership expectations, and can translate complex business requirements into reliable, production-grade software. You'll partner closely with product, business , and sales teams to deliver tools that directly impact AWS's commercial motions.

Architect, design, and build scalable, integrated solutions for sales analytics and tooling used by teams with AWS globally

Develop AI-powered tools and conversational agents leveraging Generative AI, large language models, and Amazon Bedrock to automate seller workflows, surface data insights, and reduce manual operational overhead

Build and integrate MCP (Model Context Protocol) services that connect sales data to agentic AI experiences, enabling sellers to query data, generate reports, and take action through natural-language interaction

Design and implement intelligent automation using agentic frameworks to replace legacy, manual processes with self-service, AI-enabled tooling

Partner cross-functionally with technology teams, business intelligence, finance, and field operations to develop solutions integrated into end-to-end seller experiences

About the team
The GDSP 3PX Analytics & Insights (A&I) team is the centralized data engineering and analytics partner for AWS's Private Pricing organization. We own the end-to-end data platform from core data modeling and pipeline infrastructure to reporting artifacts and self-serve analytics providing data-driven support to Private pricing stake owners across AWS.

We are a high-ownership, fast-moving team consisting of PMT's, Business intelligence Engineers, Data Engineers and Software development Engineers who thrive in ambiguity and deliver at pace. We manage a broad portfolio spanning multiple business verticals while maintaining a strong bar for data quality, operational rigor, and customer obsession. Our data ecosystem and insights are foundational to how Private Pricing programs are designed, measured, and evolved directly shaping the strategies that drive AWS's largest and most complex enterprise deals worldwide.