SDE — AI-Driven Incident Response & Observability

Amazon Inc.

Seattle, Northern (WA, KY)

Hybrid

USD 140,000 - 190,000

Full time

18 hours ago
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Job summary

Amazon is seeking a Software Development Engineer to join the Network Control Center (NCC) team within Customer Service Technologies in Seattle. You will design, build, and operate AI-native systems that transform incident detection, response, and recovery at massive scale.

This greenfield effort offers high ownership and rapid iteration across real-time signal processing and autonomous recovery. You will collaborate with scientists, product managers, and senior engineers to ship robust,

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

  • Design, build, and operate core NCC platform capabilities for real-time observability and incident detection.
  • Own end-to-end delivery of features from design to production operation.
  • Collaborate with applied science teams to integrate ML models for anomaly detection and predictive alerting.
  • Solve distributed systems challenges: real-time event processing, low-latency decisions, fault tolerance.
  • Participate in on-call rotations, build dashboards and runbooks, drive reliability improvements.
  • Contribute to design discussions, code reviews, and engineering best practices.

Skills

Software development
System design/architecture
Programming languages

Education

Bachelor's degree in CS or equivalent

Tools

AWS services

Job description

Amazon is seeking a Software Development Engineer to join the Network Control Center (NCC) team within Customer Service Technologies in Seattle. You will design, build, and operate AI-native systems that transform incident detection, response, and recovery at massive scale.

This greenfield effort offers high ownership and rapid iteration across real-time signal processing and autonomous recovery. You will collaborate with scientists, product managers, and senior engineers to ship robust,

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