Senior SDE: AI-Powered Resilience & Incident Prevention

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 168,000 - 227,000

Full time

14 days+

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Job summary

Amazon Data Services, Inc. is seeking a Senior Software Development Engineer for the Incident Prevention team in Seattle.

You will own AI-powered products that help AWS service teams test and improve resilience, and you will shape the technical architecture of AI-native systems spanning agents, knowledge bases, and multi-step reasoning pipelines. You will lead cross-functional projects, mentor engineers, and deliver tools that surface resilience context in code reviews, deployment pipelines, and

Qualifications

  • 5+ years of leading design or architecture of new and existing systems.
  • 5+ years of non-internship professional software development experience.
  • 5+ years of programming with at least one software language.
  • Experience as a mentor, tech lead or leading an engineering team.

Responsibilities

  • Design, build, and operate scalable products that help AWS service teams test and improve resilience.
  • Collaborate with stakeholders to deliver intuitive customer experiences that help AWS service teams identify, prioritize, and address resilience risks.
  • Lead projects across multiple engineers, make high-judgment one-way-door technical decisions.
  • Own architecture for AI-native systems spanning agents, knowledge bases, and multi-step reasoning pipelines.
  • Deliver developer tools that surface resilience context in code reviews, deployment pipelines, and dashboards.
  • Mentor engineers and raise the bar for software quality and operational practices.
  • Collaborate with partner teams in Amazon to invent and simplify software.

Skills

Design leadership
Software development
Programming languages
Mentorship

Education

Bachelor's degree in computer science or equivalent

Job description

Amazon Data Services, Inc. is seeking a Senior Software Development Engineer for the Incident Prevention team in Seattle.

You will own AI-powered products that help AWS service teams test and improve resilience, and you will shape the technical architecture of AI-native systems spanning agents, knowledge bases, and multi-step reasoning pipelines. You will lead cross-functional projects, mentor engineers, and deliver tools that surface resilience context in code reviews, deployment pipelines, and

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