SDE II: Real-Time AI Incident Response

Amazon

Seattle (WA)

On-site

USD 144,000 - 194,000

Full time

15 hours ago
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Job summary

Amazon.com Services LLC is seeking a Software Development Engineer II to join the Network Control Center team, building an AI-native system for incident detection and autonomous recovery at a massive scale. You will transform current incident management with continuous observability and real-time decision making, partnering with scientists and senior engineers.

You will own end-to-end delivery, collaborate to integrate ML models, and mentor teammates while operating in a fast-paced,

Qualifications

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

Responsibilities

  • Design, build, and operate core NCC platform capabilities including real-time observability and autonomous response.
  • Own end-to-end delivery from design through deployment and production operation.
  • Collaborate with applied science teams to integrate ML models for anomaly detection and closed-loop learning.
  • Solve distributed systems challenges: real-time processing, low-latency decisions, fault-tolerant design.
  • Participate in on-call rotations, build dashboards and runbooks, and improve system reliability.
  • Contribute to design discussions, code reviews, and engineering best practices.
  • Mentor junior engineers on system design and operational excellence.

Skills

Software development
Architecture/design
Programming language

Education

Bachelor's degree in Computer Science

Job description

Amazon.com Services LLC is seeking a Software Development Engineer II to join the Network Control Center team, building an AI-native system for incident detection and autonomous recovery at a massive scale. You will transform current incident management with continuous observability and real-time decision making, partnering with scientists and senior engineers.

You will own end-to-end delivery, collaborate to integrate ML models, and mentor teammates while operating in a fast-paced,

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