Senior Software Development Engineer, Leo AI Foundations

Amazon Inc

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$168,100–$227,400 / yr
Posted
2 days ago

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Competitive pay

How this pay compares to similar roles

Similar $197k
This role $198k
$142k most similar roles pay here $240k

This role pays more than 54% of similar roles. Most pay $163,500–$230,100 — the shaded band above. At the midpoint, this role pays about $198k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Amazon Inc

Amazon Inc. is the world''s largest e-commerce and cloud computing company, operating the Amazon marketplace, AWS cloud platform, Prime subscription services, Alexa voice AI, and logistics infrastructure. Industry: E-Commerce & Cloud Computing

Amazon Inc currently has 335 open roles on FindRole.

Listed pay typically runs $143,700–$194,400 across 317 roles with salary data.

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At a glance

TL;DR · Senior Software Development Engineer, Leo AI Foundations

As a Senior Software Development Engineer at Amazon Kuiper Manufacturing Enterprises LLC, you will join the Leo AI Foundations team to design and implement globally distributed systems that enable near real-time analytics and support agentic AI capabilities. Your daily tasks include architecting scalable S3-based Data Lakehouses, OLAP-based analytics layers, and robust data quality frameworks while ensuring automated compliance validation. You will also develop intelligent orchestration for metrics generation workflows and cross-domain federated query capabilities using the latest AWS technologies. This role requires expertise in cloud services, APIs, and low-latency, highly scalable architecture to facilitate high-quality internet service delivery. Key skills include proficiency in Java, Python, SQL, and experience with AWS services such as S3, Redshift, and Lambda. The position involves working on large-scale data processing and analytics challenges within Amazon’s secure and compliant environment.

What you'll do

  • Architect and implement a scalable S3-based Data Lakehouse for unified data storage.
  • Design an OLAP-based analytics layer optimized for cost and performance.
  • Establish metadata management with automated classification and lineage tracking.
  • Lead the design of semantic data models balancing analytical performance and AI needs.
  • Implement cross-domain federated query capabilities with advanced optimization techniques.
  • Architect a globally distributed vector database for efficient embedding retrieval.
  • Design hybrid search strategies combining dense vectors with sparse representations.

What we're looking for

  • Extensive experience in designing and implementing scalable S3-based Data Lakehouses.
  • Proficient in architecting cost-performance-optimized OLAP analytics layers.
  • Expertise in metadata management with automated data classification and lineage tracking.
  • Strong background in standardized data ingestion patterns with quality controls.
  • Experience in developing robust data quality frameworks with validation pipelines.
  • Skilled in designing extensible metrics schemas for complex analytical queries.
  • Knowledge of implementing cross-domain federated query capabilities with optimization.

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