Amazon Kuiper Manufacturing Enterprises LLC

Technology

SoftwareDevelopmentManager,AmazonLeoAIFoundations

$185–250k Redmond, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Software Development Manager, Amazon Leo AI Foundations at Amazon Kuiper Manufacturing Enterprises LLC”

Industry & Context.

Technology
Full Job Description

Amazon Leo is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. This role is for a Software Development Manager who will design, implement, and operate globally distributed systems that enable Leo to achieve low single-digit-second query responses within a near real-time analytics layer or lakehouse, and to support agentic AI capabilities on top. You’ll build these systems using the latest AWS technologies and best-in-industry data engineering practices. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities - Architect and implement a scalable, performance-optimized OLAP-based analytics system. - Architect and implement a scalable, cost-optimized Data Lakehouse that unifies structured and unstructured data from diverse sources. - Architect a centralized metrics repository that becomes the source of truth for all Leo metrics. - Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns. - Implement cross-domain federated query capabilities with sophisticated query optimization techniques. - Establish metadata management with automated data classification and lineage tracking. - Design and enforce standardized data ingestion patterns with built-in quality controls and validation gates. - Implement robust data quality frameworks with staging-first policies and automated validation pipelines. - Develop intelligent orchestration for metrics generation workflows with comprehensive audit trails. - Lead

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