Senior Software Dev Engineer, Leo AI Foundations

Amazon Inc

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $168,100–$227,400 / yr
Posted: 69 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k

This role $198k

$134k $237k

below market most similar roles pay here above market

This role pays more than 76% of similar roles. Most pay $169,050–$197,750 — the blue band above. At the midpoint, this role pays about $198k versus about $183k 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 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 · Senior Software Dev Engineer, Leo AI Foundations

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The Sr. Software Dev Engineer, Leo AI Foundations joins the Leo AI Foundations team to build the intelligent cloud backbone for Amazon’s low Earth orbit satellite network. You will design, implement, and operate globally distributed systems, including a scalable S3-based Data Lakehouse and an OLAP-based analytics layer. Key responsibilities involve architecting a centralized metrics repository, establishing metadata management with automated lineage tracking, and developing a globally distributed vector database capable of managing billions of embeddings. You will build cloud services and APIs to support agentic AI capabilities, utilizing AWS technologies to achieve low-latency query responses. The role requires expertise in distributed systems, data lakehouse architectures, and applied machine learning to optimize network performance, routing, and user experience across satellites, ground gateways, and customer terminals.

Skills

AWS S3 Data Lakehouse OLAP Vector Database Distributed Systems APIs Machine Learning Source Control Management Metadata Management Query Optimization Hybrid Search Data Quality Frameworks

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.
Architect a globally distributed vector database infrastructure capable of managing billions of embeddings with sub-100ms retrieval.
Design and implement hybrid search strategies combining dense and sparse representations for semantic retrieval.
Develop intelligent orchestration for metrics generation workflows with comprehensive audit trails.
Design semantic data models that balance analytical performance with AI retrieval requirements.
Implement robust data quality frameworks with staging-first policies and automated validation pipelines.
Establish automated compliance validation frameworks to ensure data handling meets security standards.

What we're looking for

Must be a U.S. citizen, national, permanent resident, refugee, or granted asylum.
5+ years of non-internship professional software development experience.
5+ years of programming experience with at least one software programming language.
5+ years of experience leading design or architecture of new and existing systems.
Experience as a mentor, tech lead, or leading an engineering team.
5+ 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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