Software Engineer II - Global Data Lakehouse & AI Analytics

Amazon

Redmond (WA)

On-site

USD 140,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Equal opportunity employer

Job summary

Amazon in Redmond is seeking a Software Development Engineer to design, implement, and operate globally distributed systems for Leo, Amazon's low Earth orbit connectivity project. You will build low-latency cloud services, APIs, and data pipelines that enable near real-time analytics and AI-enabled capabilities across satellite, ground, and customer terminals.

The role emphasizes scalable architectures, rigorous testing, and operational excellence.

Qualifications

3+ years of professional software development experience.
3+ years of design or architecture experience for new/existing systems.
Experience programming with at least one software language.

Responsibilities

Architect and implement scalable, cost-optimized S3-based data lakehouse.
Architect and implement scalable OLAP-based analytics layer.
Establish metadata management with automated data classification and lineage tracking.
Design standardized data ingestion patterns with validation gates.
Architect a centralized metrics repository for Leo metrics.
Implement robust data quality frameworks with automated validation pipelines.
Design extensible data schemas and AI-friendly retrieval patterns.
Develop orchestration for metrics generation workflows with audit trails.
Lead semantic data model design balancing performance and AI retrieval.
Implement cross-domain federated query capabilities with optimization.
Architect a globally distributed vector database for billions of embeddings with sub-100ms retrieval.
Design hybrid search strategies for semantic retrieval.
Establish automated compliance validation frameworks meeting Amazon's security standards.