Software Engineer, Leo AI Foundations — Global Scale

Amazon; Redmond (WA); On-site; USD 144,000 - 194,000; Full time

Job summary

Amazon Kuiper Holding 1 LLC in Redmond is seeking a Software Engineer to design, implement, and operate globally distributed systems for Leo, delivering low-latency data services and AI foundations across satellites and gateways.

You will build scalable data lakehouse, analytics layer, and metadata, ingestion, and retrieval frameworks to support real-time insights and AI-powered decisions.

Qualifications

• 3+ years of non-internship professional software development.
• 2+ years of design or architecture experience on large-scale systems.
• Experience programming in at least one major language.

Responsibilities

• Architect and implement a scalable, cost-optimized S3-based Data Lakehouse.
• Architect and implement a scalable OLAP-based analytics layer.
• Establish automated metadata management and lineage tracking.
• Design standardized data ingestion patterns with quality controls.
• Create a centralized metrics repository for Leo metrics.
• Implement data quality frameworks with automated validation pipelines.
• Design extensible data models and AI retrieval-oriented schemas.
• Develop orchestration for metrics generation with audit trails.
• Lead semantic data models balancing analytics and AI retrieval.
• Enable cross-domain federated query with advanced optimization.
• Build globally distributed vector database for embeddings with sub-100ms retrieval.
• Design hybrid search strategies for semantic retrieval.
• Establish automated compliance validation frameworks.

Skills

Software development

Distributed systems

AWS technologies

Education

Bachelor's degree in Computer Science or equivalent

Job description

Amazon Kuiper Holding 1 LLC in Redmond is seeking a Software Engineer to design, implement, and operate globally distributed systems for Leo, delivering low-latency data services and AI foundations across satellites and gateways.

You will build scalable data lakehouse, analytics layer, and metadata, ingestion, and retrieval frameworks to support real-time insights and AI-powered decisions.