Software Development Engineer II , Amazon Fulfillment Technologies - Inbound
Role Overview
Amazon Fulfillment Technologies Inbound builds systems moving inventory into Amazon's fulfillment network.
The engineer owns large-scale data infrastructure supporting supply-chain decisions, analytics, and machine-learning systems.
Key Skills for This Role
Full Job Posting
Role overview
Amazon Fulfillment Technologies Inbound builds systems moving inventory into Amazon's fulfillment network.
The engineer owns large-scale data infrastructure supporting supply-chain decisions, analytics, and machine-learning systems.
Responsibilities
- Build and operate scalable batch and streaming pipelines; own data models, warehouses, curated datasets, feature pipelines, and feature stores.
- Lead design reviews and trade-offs; own data quality, lineage, observability, and reliability.
- Partner with Applied and Research Scientists to prepare training data, deliver features, and operationalize model-scoring workflows.
- Deliver production software and engineering practices; troubleshoot issues, participate in on-call, and automate operations.
- Mentor SDE I and early-career engineers and influence the data platform roadmap.
Basic qualifications
- 3+ years building complex software systems and a bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
- Strong Python and SQL at scale; production batch and streaming pipelines; big data frameworks such as Spark, Hive, or Presto.
- Data modeling and ETL/ELT for analytics and ML; experience partnering with science or ML teams to productionize models.
- Production data quality, validation, or observability experience; AI coding assistant experience.
- Software engineering fundamentals including testing, CI/CD, code review, and production operations.
Preferred qualifications
- Production ML deployment; large-scale data architecture such as data lakes, warehouses, or lakehouse patterns; or MLOps tools.
- Cross-team ML-integrated systems, agentic development, prompt engineering, LLM APIs, or ML evaluation frameworks.
- Data lineage, cataloging, observability, streaming, orchestration, infrastructure-as-code, or business reporting experience.
- Supply-chain, logistics, fulfillment, or operational environment background.
About the team
The team builds data infrastructure and intelligent systems for inbound operations across a global fulfillment network.
It works at the intersection of large-scale data engineering and applied machine learning to improve automation and optimization.
Compensation and benefits
- The listed base salary range is USD 143,700–194,400 annually; the compensation package may also include sign-on payments and restricted stock units.
- Benefits include health coverage, 401(k) matching, paid time off, and parental leave.
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