Software Engineer, AI Foundations - Global Low-Latency

Amazon

Redmond (WA)

On-site

USD 144,000 - 194,000

Full time

5 days ago
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Benefits offered by this job

Sign-on payments
Restricted stock units (RSUs)
Comprehensive benefits
Health insurance

Job summary

Amazon Leo AI Foundations seeks a Software Development Engineer to design, implement, and operate globally distributed systems enabling Leo’s low-latency analytics and agentic AI capabilities across satellites, gateways, and customer terminals. You’ll build robust cloud services using AWS technologies and best practices to deliver scalable, secure data platforms.

Join a team delivering real-time analytics, data lakehouse architecture, and AI-enabled retrieval patterns, while enhancing data

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
  • Experience programming with at least one software programming language.

Responsibilities

  • Architect and implement scalable, cost-optimized data systems and analytics layers.
  • Build and operate globally distributed services enabling low-latency responses.
  • Establish data governance, metadata management, and quality controls across data pipelines.
  • Design and enforce ingestion patterns with validation gates and audit trails.
  • Develop a centralized metrics repository and semantic data models for AI retrieval.

Skills

Software development experience
System design
Programming language experience

Education

Bachelor's degree in computer science

Job description

Amazon Leo AI Foundations seeks a Software Development Engineer to design, implement, and operate globally distributed systems enabling Leo’s low-latency analytics and agentic AI capabilities across satellites, gateways, and customer terminals. You’ll build robust cloud services using AWS technologies and best practices to deliver scalable, secure data platforms.

Join a team delivering real-time analytics, data lakehouse architecture, and AI-enabled retrieval patterns, while enhancing data

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