Software Dev Engineer, Amazon Leo AI Foundations

Amazon Inc

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $143,700–$194,400 / yr
Posted: 70 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $174k

This role $169k

$138k $200k

below market most similar roles pay here above market

This role pays more than 61% of similar roles. Most pay $160,975–$187,200 — the blue band above. At the midpoint, this role pays about $169k versus about $174k for comparable roles.

Based on 240 similar postings.

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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 643 open roles on FindRole.

Listed pay typically runs $143,700–$194,400 across 636 roles with salary data.

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At a glance

TL;DR · Software Dev Engineer, Amazon Leo AI Foundations

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Software Dev Engineer, Amazon Leo AI Foundations joins the team building the intelligent cloud backbone for Amazon’s low Earth orbit satellite network. This role involves designing, implementing, and operating globally distributed systems to enable low single-digit-second query responses within a near real-time analytics layer or lakehouse to support agentic AI capabilities. You will architect a scalable S3-based Data Lakehouse, implement OLAP-based analytics layers, and manage metadata with automated lineage tracking. Key tasks include building a globally distributed vector database for billions of embeddings, designing hybrid search strategies, and developing APIs for intelligent software operation across satellites and ground gateways. Required skills include professional software development experience, system design expertise, and proficiency in at least one programming language to solve complex data ingestion and retrieval problems.

Skills

AWS S3 Data Lakehouse OLAP Vector Database Distributed Systems APIs Machine Learning Source Control Management Metadata Management Data Ingestion Hybrid Search

What you'll do

Architect and implement a scalable, cost-optimized S3-based Data Lakehouse for structured and unstructured data.
Build a scalable, cost-performance-optimized OLAP-based analytics layer to support near real-time queries.
Design and implement a globally distributed vector database for managing billions of embeddings with sub-100ms retrieval.
Develop hybrid search strategies combining dense vectors with sparse representations for optimal semantic retrieval.
Implement robust data quality frameworks with staging-first policies and automated validation pipelines.
Design semantic data models and metrics schemas that support complex analytical queries and AI retrieval patterns.
Build cloud services and APIs to orchestrate AI foundations across satellites, ground gateways, and customer terminals.
Establish automated compliance validation frameworks to ensure data handling meets security standards.

What we're looking for

Candidates must be a U.S. citizen, national, permanent resident, refugee, or granted asylum.
3+ years of non-internship professional software development experience.
2+ years of non-internship design or architecture experience for new and existing systems.
Experience programming with at least one software programming language.
3+ years of full software development life cycle experience (preferred).
Bachelor's degree in computer science or equivalent (preferred).
Export control laws and regulations, candidates.

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