Amazon.com Services LLC
Software Development, fulfillment technology and robotics
SoftwareDevelopmentEngineerII,AmazonManufacturingServices(AMS)
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Development Engineer II, Amazon Manufacturing Services (AMS) at Amazon.com Services LLC. Skills: Full stack development, AWS, Machine Learning, LLM. Design services on AWS. Build services on AWS”
Industry & Context.
What They're Looking For.
Must Have
4+ years software development experience, 2+ years full stack development, 2+ years design or architecture, 2+ years building production software, Full software development life cycle experience, Knowledge of Machine Learning fundamentals, Knowledge of LLM fundamentals, Knowledge of transformer architecture, Knowledge of training/inference lifecycles, Knowledge of optimization techniques, Bachelor's degree or foreign equivalent
Nice to Have
5+ years full software development life cycle experience, 4+ years full stack development, 1+ years mathematics optimization, 1+ years machine learning experience, 1+ years statistical modeling experience, 1+ years data mining experience, 1+ years analytics techniques experience, Experience with LLM fundamentals, Experience with model execution optimization, Master's degree in computer science
What You'll Do.
Design services on AWS
Build services on AWS
Operate services on AWS
Build React web applications
Integrate AMS services
Design CDK infrastructure
Implement CDK infrastructure
Design CI/CD pipelines
Implement CI/CD pipelines
Collaborate on system design
Collaborate on code reviews
Collaborate on architecture decisions
How You'll Work.
Team & Collaboration
Senior engineers; Data engineers; Manufacturing stakeholders
Full Job Description
Do you want to build software that changes how physical things get made? Amazon Manufacturing Services (AMS) runs 135+ machines producing custom parts for over 100 Amazon organizations. We are building the next generation of services and applications that digitize shop floor operations, integrate with enterprise manufacturing platforms, and lay the groundwork for intelligent production scheduling. You will work across the full stack — React applications for operators and planners, event-driven backend services processing manufacturing data in real time, and integration bridges connecting AMS to enterprise ERP, PLM, and MES systems. The team is small, the technical surface is broad, and the users are in the building. Key job responsibilities * Design, build, and operate services on AWS Lambda, DynamoDB, S3, SNS, SQS, and Step Functions using event-sourced, domain-driven architecture patterns * Build React web applications using the Cloudscape Design System for manufacturing operators, planners, and engineers * Integrate AMS services with enterprise platforms through event-based and API-based integration patterns * Design and implement API models, CDK infrastructure, and CI/CD pipelines for new services * Collaborate with senior engineers on system design, code reviews, and architecture decisions A day in the life Your day starts with a standup alongside SDEs, data engineers, and manufacturing stakeholders. You pick up where you left off on a React component that displays real-time resource status for shop floor planners. After lunch, you shift to a backend service, designing a DynamoDB schema for part versioning. A code review comes in from a senior engineer working on an enterprise integration bridge, and you spend time understanding how AMS connects to external manufacturing platforms. Some weeks lean more frontend — building interactive data visualizations or responsive layouts for shop floor devices. Other weeks lean more backend — implementing event-sourced enti
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