Amazon
Software Development Engineer, Seller Economics & Fees
$144K–$194K
Seattle, WA · Full-time · Posted Oct 8, 2026
- Experience
- 3+ years professional software development; 2+ years design or architecture; 1+ years large-scale software development using one of the listed languages. Preferred: 3+ years full software development lifecycle.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
About the job
Design, build, deploy, and operate seller fee and economics systems, while helping rework fee policy infrastructure with AI agents, formal verification, and reinforcement-learning loops.
What you'll do
- Develop scalable, secure software features across the full lifecycle, from product definition and design through testing, deployment, and operations.
- Diagnose operational issues, implement durable reliability improvements, and mentor engineers through reviews and knowledge sharing.
- Use AI-assisted coding, multi-agent workflows, and agentic code review tools as part of software delivery.
What they ask for
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience for new and existing systems, including design patterns, reliability, and scaling.
- 1+ years designing and developing large-scale software applications, tools, systems, or services using C#, C++, Java, or Perl.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field; experience programming in at least one software language.
Nice to have
- 3+ years of full software development lifecycle experience, including coding standards, code reviews, source control, build processes, testing, and operations.
- Experience with Machine Learning and Large Language Model fundamentals, including model architecture, training/inference lifecycles, and execution optimization.
Pay
143,700.00 - 194,400.00 USD annually (base salary)
Tools
C#, C++, Java, Perl, AI agents, SMT, RL
AI focus
Rebuild fee policy systems using AI agents, formal verification (SMT), and self-improving RL loops; use AI-assisted coding, multi-agent workflows, and agentic code review. The role also works across ML-based item classification and seller-facing AI surfaces.
Model-written summary · the original posting is authoritative