Software Development Engineer II, AWS Marketplace & Partner Services (AMPS) at Amazon
Seattle, WA
$143,700–$194,400from the description
Jul 15, 2026
Seattle, WA
Jul 21, 2026
What this job asks for AI summary
A software engineering role focused on building and maintaining the backend infrastructure that supports AI and machine learning systems — specifically pipelines for training large language models, hosting custom models, and monitoring AI agents in production. The work involves developing APIs, automation tooling, and observability frameworks, in close collaboration with data scientists, applied scientists, and product managers to bring experimental AI research into production at scale.
Mid level · 3+ years · Seattle-Tacoma-Bellevue, WA · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
Why we read it this way (7)
The Basic Qualifications require a Bachelor's degree in CS, Engineering, Mathematics, or a related field with no 'or equivalent experience' escape clause — treated as a hard degree gate.
The role's minimum experience gate is 3+ years of professional software development; the 2+ year requirements for design/architecture, cloud services, and distributed systems are all sub-requirements within that same block.
Cloud services (2+ years) is listed as a hard gate in Basic Qualifications with AWS, Azure, and GCP named as examples — AWS is the clear preferred platform but any of the three satisfies the requirement.
All ML/AI skills — LLMs, LangChain/LangGraph/Amazon Bedrock Agents, agentic AI systems, LLM fine-tuning pipelines, and model hosting — appear exclusively under Preferred Qualifications.
The title carries no seniority level word; advertised seniority is Unspecified. The 3+ year minimum and 2+ year sub-requirements support a Mid-level classification despite the scope of the AI infrastructure work described.
The alt SOC (15-1243 Data/Database Architects) was considered given the emphasis on ML pipeline and infrastructure design, but the primary day-to-day work is clearly software development — building APIs, tooling, and production systems — making 15-1252 the right fit.
Compensation is quoted as a Seattle-specific base salary range of $143,700–$194,400/year, with additional sign-on and RSU components noted but not quantified.
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