Software Development Engineer II , Amazon Fulfillment Technologies Inbound

Amazon Fulfillment Technologies (AFT) Inbound builds the systems that move inventory into Amazons fulfillment network at massive scale. Were 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. Youll 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. Youll partner closely with Applied and Research Scientists to feed and productionize Machine Learning (ML) systems and youll 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 teams data platform.

About the team
Amazon Fulfillment Technologies (AFT) Inbound builds the software and science that move inventory into Amazons fulfillment network from the moment a supplier ships product to the point its 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 youre excited by hard distributed-systems problems real-world scale and building the data foundations that power automation and optimization across Amazons supply chain youll find a high-ownership high-impact home here.

- 3 years of building complex software systems experience
- Bachelors degree in Computer Science Engineering Mathematics or a related field
- Strong Python proficiency and experience with SQL at scale
- Experience building and owning batch and streaming data pipelines in production environments
- Experience with big data technologies (Spark Hive Presto or similar distributed computing frameworks)
- Experience building data models and ETL/ELT pipelines that serve both analytics/reporting and ML workloads (feature engineering preprocessing training data management)
- Experience collaborating with science or ML teams to take models from prototype to production (training data preparation feature delivery model-scoring pipelines)
- Experience with data quality validation or observability practices for production datasets
- Experience using AI coding assistants or agentic development tools (e.g. Amazon Q Developer Copilot Kiro or similar) to accelerate software delivery
- Solid software engineering fundamentals (testing CI/CD code review production operations)

- Experience deploying ML models to production environments
- Experience designing and optimizing large-scale data architectures (data lakes data warehouses lakehouse patterns)
- Experience with MLOps tooling (SageMaker Pipelines Step Functions MLflow or similar) for operationalizing model training scoring and deployment workflows
- Experience partnering cross-team with SDEs to design and ship ML-integrated services or systems
- Experience using agentic workflows to generate test and iterate on code infrastructure or pipeline components at scale
- Experience with prompt engineering and LLM APIs
- Experience with ML evaluation frameworks (especially for generative AI / LLM outputs)
- Experience with data lineage cataloging and observability tooling at scale
- Experience with streaming data processing (Kafka Kinesis Flink)
- Experience with data orchestration tools (Airflow Step Functions AWS Glue workflows)
- Experience with infrastructure-as-code (CDK CloudFormation Terraform)
- Experience building metrics and reporting infrastructure consumed by business stakeholders
- Background in supply-chain logistics fulfillment or operational environments

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 for more information. If the country/region youre applying in isnt 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 WA Bellevue - 143700.00 - 194400.00 USD annually

Required Experience:

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