Software Dev Engineer, Leo AI Foundations

Job summary

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.

Benefits

Qualifications

• Implement cross-domain federated query capabilities with sophisticated query optimization techniques.
• Architect a globally distributed vector database infrastructure capable of managing billions of embeddings with consistent sub-100ms retrieval times.
• Design and implement hybrid search strategies combining dense vectors with sparse representations for optimal semantic retrieval.
• Establish automated compliance validation frameworks ensuring data handling meets Amazon's security standards.
• A day in the life
• You will be building low-latency, highly scalable architecture that are critical to getting high quality internet service to customers.
• 3+ years of non-internship professional software development experience
• 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language
• PREFERRED
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

Responsibilities

• Architect and implement a scalable, cost-optimized S3-based Data Lakehouse that unifies structured and unstructured data from disparate sources.
• Architect and implement a scalable, cost-performance-optimized OLAP-based analytics layer
• 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.
• Architect a centralized metrics repository that becomes the source of truth for all Leo metrics.
• Implement robust data quality frameworks with staging-first policies and automated validation pipelines.
• Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns.
• Develop intelligent orchestration for metrics generation workflows with comprehensive audit trails.
• Lead the design of semantic data models that balance analytical performance with AI retrieval

Degrees

Industry

Company size