Hybrid Staff Infrastructure Engineer: AI-Driven Incidents

The Hartford

Hartford, Northern (CT, KY)

Hybrid

USD 117,000 - 175,000

Full time

12 days ago
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Job summary

The Hartford is seeking a Staff Infrastructure Engineer to leverage AI for rapid detection and resolution of critical incidents. You will work with cross-functional teams to restore services and improve event management within the Technology Command Center.

Hybrid schedule in Hartford, CT or Charlotte, NC with in-office presence Tue-Thu. The role requires extensive experience with monitoring and AI-driven analytics, strong communication during outages, and a proactive mindset to reduce noise and

Qualifications

  • 8+ years of experience in monitoring and observability.

Responsibilities

  • Manage technical and executive communication for major incidents.
  • Perform alert triage, correlation, and initial impact assessment to separate actionable events from non-actionable noise.
  • Support major incident detection and escalation by validating symptoms, confirming affected services, and engaging resolver teams.
  • Use standard operating procedures, runbooks, and decision frameworks to investigate, prioritize, and escalate events.
  • Maintain situational awareness during active events; document event patterns and operational observations.
  • Promote events to incidents when thresholds are met; partner with internal and external teams during restoration activities.
  • Identify opportunities to improve monitoring effectiveness, event quality, automation, and operational readiness.

Skills

Monitoring tools
AI analysis
Prompt engineering
ITSM tickets
Incident response

Tools

Splunk
Dynatrace
ITSI
Moogsoft
ThousandEyes

Job description

The Hartford is seeking a Staff Infrastructure Engineer to leverage AI for rapid detection and resolution of critical incidents. You will work with cross-functional teams to restore services and improve event management within the Technology Command Center.

Hybrid schedule in Hartford, CT or Charlotte, NC with in-office presence Tue-Thu. The role requires extensive experience with monitoring and AI-driven analytics, strong communication during outages, and a proactive mindset to reduce noise and

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