Software Engineer, Global Data Lakehouse & AI

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Leo AI Foundations builds the intelligent cloud backbone powering AI-driven decisions for Leo satellites, gateways, and customer terminals. The role focuses on low-latency, highly scalable cloud services and APIs to enable intelligent software operation across Leo devices.

You will implement end-to-end data and compute architectures with strong emphasis on AI retrieval and analytics at scale. The team combines distributed systems, data lakehouse architectures, and applied machine learning

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ 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

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 requirements.
• 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.

Skills

Software development

System design

Programming languages

Education

Bachelor's degree in CS or equivalent

Job description

Amazon Leo AI Foundations builds the intelligent cloud backbone powering AI-driven decisions for Leo satellites, gateways, and customer terminals. The role focuses on low-latency, highly scalable cloud services and APIs to enable intelligent software operation across Leo devices.

You will implement end-to-end data and compute architectures with strong emphasis on AI retrieval and analytics at scale. The team combines distributed systems, data lakehouse architectures, and applied machine learning