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AI Post-Incident Analysis Report Generator

Chase Pham

Full-time · Job · New_York

About the role

After every production incident, someone has to write the post-mortem: what happened, when it happened, what the impact was, what the root cause was, and what actions will prevent recurrence. This write-up takes 4-6 hours and often gets delayed because engineers would rather fix things than document them. Our report generator produces draft post-mortems automatically from incident data. The generator assembles reports from multiple data sources: alert timelines from monitoring systems, communication logs from incident channels, deployment records from CI/CD pipelines, and metric graphs from observability platforms. You'll build the pipeline that ingests these sources, constructs a coherent incident narrative, identifies likely root causes from the evidence, and generates a structured report that an engineer can review and publish in 30 minutes instead of 4 hours. The incident tooling team is four engineers. You'll own the report generation pipeline, working with SRE teams who review output quality and provide feedback on what makes a post-mortem useful versus useless.

Responsibilities

  • Build incident report generation from alert timelines and communication logs
  • Construct coherent incident narratives from multi-source event data
  • Identify likely root causes from deployment records and metric correlations
  • Generate structured post-mortem reports following blameless incident review format
  • Measure report quality through SRE review feedback and revision rates
  • Integrate with monitoring, CI/CD, and communication platforms

Requirements

  • 1+ year in backend engineering with DevOps or SRE exposure
  • Experience with text generation or summarization from structured data
  • Strong Python skills with LLM orchestration frameworks
  • Understanding of incident response processes and post-mortem culture
  • Ability to work with multiple data source integrations

Benefits

  • Fully remote with flexible hours
  • Health and dental insurance
  • $2,500 learning budget
  • Quarterly team events
  • Reduce the most tedious part of incident response

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Categories

Automation & AI Workflows NLP & Prompt Engineering

Skills

python langchain openai api sql docker

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Job Type

Full-time

Level

Junior

Language

English

Salary Range

$80k – $100k / year

AI Expertise

Automation & AI Workflows NLP & Prompt Engineering

Skills

python langchain openai api sql docker fastapi

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