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
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $197k

This role $198k

$142k most similar roles pay here $241k

This role pays more than 53% of similar roles. Most pay $163,500–$231,043 — 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

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As a Sr. 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 operational intelligence for Leo's satellite constellation, ground gateways, and customer terminals. Your day-to-day responsibilities include architecting intelligent agent systems that continuously monitor and optimize system health, developing natural language interfaces for conversational interactions with operations teams, and building scalable data lakehouses and analytics layers to support AI-driven decision-making. You will leverage AWS technologies and best practices to create robust, low-latency architectures that ensure high-quality internet service and operational efficiency across the Leo network. Essential skills include expertise in cloud services, APIs, reinforcement learning, natural language processing, and distributed systems architecture.

Skills

AWS Python Kubernetes Terraform PostgreSQL CI/CD Reinforcement Learning Natural Language Processing RAG Systems Dense Vectors Sparse Representations Semantic Retrieval S3 OLAP Federated Query Vector Database Hybrid Search Data Lakehouse Metadata Management Automated Testing Metrics Repository Compliance Validation

What you'll do

Architect multi-agent systems to analyze telemetry data and detect anomalies.
Develop intelligent agents for reasoning across complex distributed systems.
Build agentic workflows that autonomously triage system issues and escalate critical problems.
Design agent-based frameworks enabling collaborative problem-solving between autonomous agents.
Implement reinforcement learning-based agents to optimize real-time system performance parameters.

What we're looking for

Extensive experience in designing and implementing globally distributed systems.
Proficiency in architecting intelligent agent systems for autonomous operational intelligence.
Expertise in building agentic workflows that triage system anomalies and escalate issues based on severity.
Strong background in developing natural language interfaces for conversational interactions with AI systems.
Experience in creating scalable, cost-effective data lakehouses and analytics layers using AWS technologies.
Deep knowledge of reinforcement learning-based agents for real-time system optimization.
Skilled in designing hybrid search strategies combining dense vectors and sparse representations.

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