DRI [Designated Responsible Individual]

Remote • Posted 11 hours ago • Updated 11 hours ago
Contract W2
No Travel Required
Remote
Depends on Experience
Fitment

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Job Details

Skills

  • TSG
  • Prompt Engineering
  • IcM Automation
  • Monitor Creation
  • KQL

Summary

Role : DRI [Designated Responsible Individual]

Location : Remote (USA)

Only on W2

Skill set:

  • Troubleshooting Guide (TSG) Authoring
  • Prompt Engineering
  • IcM Automation
  • Monitor Creation
  • KQL (Kusto Query Language)

JD :

Troubleshooting Guide (TSG) Authoring Critical

  • Writing structured troubleshooting guides with: symptoms, diagnostic steps, KQL queries, expected results interpretation, and mitigation actions
  • Organizing TSGs into a logical folder hierarchy (by sub-service, monitor, failure category)
  • Creating a Root.md entry point that maps incident signals to the right TSG
  • Optionally creating TOC files for token optimization (~50% cost reduction)

2. Prompt Engineering Critical

  • Writing clear system prompts that guide the AI agent's investigation and mitigation workflow
  • Defining tool usage patterns, decision logic, and structured output format
  • Crafting investigation flows that handle cross-service dependency chains
  • Iterating prompts based on agent output quality during testing

3. IcM Automation Critical

  • Building automation workflows triggered by IcM incidents
  • Configuring incident routing, auto-triage, and escalation rules
  • Integrating DRI Agent into the IcM incident lifecycle (auto-invoke on incident creation)
  • Understanding severity levels, queue paths, and ownership models across sub-service teams

4. Monitor Creation Required

  • Creating and tuning monitors/alerts that detect service health issues
  • Mapping monitors to TSGs so the agent knows which guide to follow per alert
  • Understanding Geneva/MDM metrics for health signal definition

5. KQL (Kusto Query Language) - Critical

  • Writing and validating KQL queries against service telemetry
  • Understanding Kusto cluster/database structure and table-to-service mapping
  • Time-based filtering, summarization, aggregation, and joins
  • Parameterized queries (e.g., placeholders for timestamps, cluster names, tenant IDs)
  • Interpreting query results to validate whether a mitigation was successful
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10228827
  • Position Id: 8911362
  • Posted 11 hours ago
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