Software Development Manager: Scalable Data Lakehouse

Amazon; Redmond (WA); On-site; USD 185,000 - 250,000; Full time

Job summary

Amazon Leo Data Platform seeks a Software Development Manager to lead the design and delivery of cloud services and APIs that orchestrate the Leo AI Foundations. You will craft low-latency, highly scalable architectures enabling AI-driven decision making across satellites, gateways, and customer terminals.

You will mentor a team of engineers, drive architectural excellence, and partner with product management to align on strategy, standards, and execution across Leo’s data and compute systems.

Qualifications

• 3+ years of engineering team management experience.
• 7+ years of engineering experience.
• 8+ years of leading the definition and development of multi tier web services.
• 3+ years of Software Engineer, Software Developer, or related occupational experience.
• 1+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience.
• 1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience.
• 1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience.
• 1+ years of developing large-scale, multi-tiered distributed software systems using distributed programming experience.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations.
• Experience partnering with product or program management teams

Responsibilities

• Architect and implement a scalable, cost-optimized S3-based Data Lakehouse.
• 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

Engineering team management

Engineering experience

Web services development

Distributed systems

Java/C#/C++

Education

Bachelor's degree in Computer Science, Engineering, Mathematics

Job description

Amazon Leo Data Platform seeks a Software Development Manager to lead the design and delivery of cloud services and APIs that orchestrate the Leo AI Foundations. You will craft low-latency, highly scalable architectures enabling AI-driven decision making across satellites, gateways, and customer terminals.

You will mentor a team of engineers, drive architectural excellence, and partner with product management to align on strategy, standards, and execution across Leo’s data and compute systems.