Amazon
Software Development Engineer, 3PX Analytics & Insights
$144K–$214K
Seattle, WA +1 · Full-time · Posted Sep 10, 2026
- Location
- Seattle, WA
New York, NY - Experience
- 3+ years professional software development; 2+ years design or architecture; 1+ years software development engineer or related occupational experience; 1+ years large-scale application development and Object Oriented Design.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
About the job
Build scalable analytics platforms and seller-facing tools, including data pipelines, dashboards, and AI agents, to support data-driven decisions across AWS sales.
What you'll do
- Design and build scalable sales analytics solutions and tools for AWS teams.
- Develop Generative AI tools, conversational agents, and MCP services to automate seller workflows and connect sales data to natural-language experiences.
- Partner with technology, business intelligence, finance, and field operations teams to deliver integrated seller experiences.
What they ask for
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience with new and existing systems.
- Experience designing and developing large-scale software applications using C#, C++, Java, or Perl; 1+ years stated.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field; experience programming with at least one software programming language.
Nice to have
- 3+ years of full software development life cycle experience.
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques.
Pay
158,100.00 - 213,800.00 USD annually (base salary); 143,700.00 - 194,400.00 USD annually (base salary)
Tools
C#, C++, Java, Perl, Generative AI, Amazon Bedrock, MCP (Model Context Protocol), LLM
AI focus
Develop AI-powered tools and conversational agents using Generative AI, LLMs, Amazon Bedrock, MCP services, and agentic frameworks to automate workflows and surface insights.
Model-written summary · the original posting is authoritative