AmazonSoftware Development Engineer, Seller Economics & Fees
Amazon is hiring a Software Development Engineer, Seller Economics & Fees in Seattle, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
- The posting mentions Smt, AI agents and AI Coding among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 21,000+ other open roles on Level.
AI in this role
Build and operate scalable seller economics and fee systems using AI agents, reinforcement learning, and formal verification.
On Fee Tech, you will own systems that 2+MM sellers depend on daily to understand, predict, and act on their economics. The work is genuinely end-to-end: you design, build, ship, and operate. Our systems process ~68.5B transactions and used across 23 countries. The engineering model is changing fast: we are rebuilding how fee policy is expressed, deployed, and validated using AI agents, formal verification (SMT), and self-improving RL loops.
You will work alongside senior and principal engineers, product managers, applied scientists, and ML engineers across the full fee lifecycle — from the Fee Calculation Engine through ML-based item classification to seller-facing AI surfaces and the agentic infrastructure beneath them. If you are the kind of engineer who wants to see the direct impact of what you ship, you will see it here.
Key job responsibilities
- Design and implement software solutions for major features and improvements, balancing technical constraints with customer needs while ensuring scalability, performance, and security.
- Contribute across the full software development lifecycle including product definition, system design, coding, testing, deployment, and operational support, delivering incrementally and with high quality.
- Identify root causes of operational issues and implement permanent fixes, continuously improving your team's systems and technical processes to reduce support costs and increase reliability.
- Mentor and coach fellow engineers through code reviews and knowledge sharing, actively training new team members on system architecture, operations, and design decisions.
- Evaluate new technologies and approaches to solve problems using optimal data structures and algorithms, making thoughtful recommendations for adoption while keeping solutions as simple as possible.
- Operate AI-native engineering practices: use AI-assisted coding, multi-agent workflows, and agentic code review tools as your default mode of software delivery.
A day in the life
You start your morning reviewing a pull request from a teammate, offering feedback that strengthens both the code and the engineer behind it. After a quick standup, you dive into designing a new feature, sketching out how it fits into the broader system architecture. In the afternoon, you might pair with a colleague to debug a tricky production issue, then document your findings so the team can learn from it. Throughout it all, you collaborate closely with product partners to ensure what you build truly serves the customer.
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 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
- 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
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
How we rate this
Software Development Engineer, Seller Economics & Fees at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $144k
- Typical software engineer job
- $168k
This posting starts 15% below the typical software engineer job. See software engineer jobs
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 software development 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?
- Tell me about a project where reinforcement learning was part of your work. What did you do?
- Tell me about a project where formal verification was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Software Development, Distributed Systems, Reinforcement learning, and Formal Verification. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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