Software Development Engineer II , Amazon Fulfillment Technologies - Inbound
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Description
Amazon Fulfillment Technologies (AFT) Inbound builds the systems that move inventory into Amazon's fulfillment network at massive scale. We're looking for a Software Development Engineer II with deep data engineering expertise to independently own the large-scale data infrastructure that powers intelligent decision-making across the inbound supply chain. You'll design and build the batch and streaming pipelines, data models, and processing systems that turn petabytes of raw supply-chain data into reliable, well-governed datasets. You'll partner closely with Applied and Research Scientists to feed and productionize Machine Learning (ML) systems, and you'll raise the engineering bar for how the team builds and operates data at scale.
Key job responsibilities
• Independently design, build, and operate scalable, reliable data pipelines (batch and streaming) that ingest, transform, and serve large volumes of supply-chain data.
• Own data modeling, data warehousing, and the design of curated datasets that serve analytics, reporting, and Machine Learning (ML) use cases.
• Build and maintain feature engineering pipelines and feature stores that supply ML models with high-quality, low-latency data.
• Lead design reviews and make sound technical trade-offs across performance, cost, scalability, and operational complexity for your area of ownership.
• Own data quality, lineage, and observability across the datasets, pipelines, and services you build, and drive systemic improvements to reliability.
• Partner with Applied and Research Scientists to operationalize ML workflows, including feature delivery, training data preparation, and model-scoring pipelines.
• Deliver robust, well-tested, production-quality software and drive engineering best practices (code reviews, Continuous Integration/Continuous Deployment (CI/CD), monitoring, operational excellence).
• Diagnose and resolve complex production and data issues; participate in on-call and reduce operational load through automation.
• Mentor SDE I and early-career engineers and influence the technical roadmap for the team's data platform.
About the team
Amazon Fulfillment Technologies (AFT) Inbound builds the software and science that move inventory into Amazon's fulfillment network — from the moment a supplier ships product to the point it's received, stowed, and ready to fulfill customer orders. Operating at the scale of billions of units across a global network of fulfillment centers, our team owns the data infrastructure and intelligent systems that make inbound flow faster, more accurate, and more cost-efficient. We work at the intersection of large-scale data engineering and applied Machine Learning (ML), partnering closely with Applied and Research Scientists to turn petabytes of supply-chain data into decisions that ship every day. If you're excited by hard distributed-systems problems, real-world scale, and building the data foundations that power automation and optimization across Amazon's supply chain, you'll find a high-ownership, high-impact home here.
Key job responsibilities
• Independently design, build, and operate scalable, reliable data pipelines (batch and streaming) that ingest, transform, and serve large volumes of supply-chain data.
• Own data modeling, data warehousing, and the design of curated datasets that serve analytics, reporting, and Machine Learning (ML) use cases.
• Build and maintain feature engineering pipelines and feature stores that supply ML models with high-quality, low-latency data.
• Lead design reviews and make sound technical trade-offs across performance, cost, scalability, and operational complexity for your area of ownership.
• Own data quality, lineage, and observability across the datasets, pipelines, and services you build, and drive systemic improvements to reliability.
• Partner with Applied and Research Scientists to operationalize ML workflows, including feature delivery, training data preparation, and model-scoring pipelines.
• Deliver robust, well-tested, production-quality software and drive engineering best practices (code reviews, Continuous Integration/Continuous Deployment (CI/CD), monitoring, operational excellence).
• Diagnose and resolve complex production and data issues; participate in on-call and reduce operational load through automation.
• Mentor SDE I and early-career engineers and influence the technical roadmap for the team's data platform.
About the team
Amazon Fulfillment Technologies (AFT) Inbound builds the software and science that move inventory into Amazon's fulfillment network — from the moment a supplier ships product to the point it's received, stowed, and ready to fulfill customer orders. Operating at the scale of billions of units across a global network of fulfillment centers, our team owns the data infrastructure and intelligent systems that make inbound flow faster, more accurate, and more cost-efficient. We work at the intersection of large-scale data engineering and applied Machine Learning (ML), partnering closely with Applied and Research Scientists to turn petabytes of supply-chain data into decisions that ship every day. If you're excited by hard distributed-systems problems, real-world scale, and building the data foundations that power automation and optimization across Amazon's supply chain, you'll find a high-ownership, high-impact home here.
