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Jira Administrator (Automation, Scripting & Agentic AI)


Job Location:

Atlanta, GA - USA

Monthly Salary: Not provided by the employer
Posted: 3 June 2026 (30+ days ago)
Application Deadline: 31 August 2026
Vacancies: 1 Vacancy

Job Summary

Job Title: Jira Administrator (Automation Scripting & Agentic AI)

Location: Remote (Candidate must be available in Mountain Time zone)

Key Responsibilities

  • Jira Platform Administration
    • Manage and evolve Jira Cloud configurations (projects workflows schemes permissions automation rules)
    • Ensure platform scalability governance and alignment with enterprise operating models
  • Workflow Design & Automation
    • Design and implement end-to-end workflows aligned to intake triage delivery and reporting
    • Build advanced automations to reduce manual intervention and improve cycle time
  • Scripting & Integration
    • Develop and maintain scripts using tools such as:
      • ScriptRunner (Groovy)
      • REST APIs (Jira GitHub ServiceNow etc.)
    • Enable integrations across toolchain (Jira GitHub Jama CRM internal systems)
  • Agentic AI Enablement
    • Design and implement AI-assisted workflows and decision agents including:
      • Intelligent triage assignment
      • Automated work classification and routing
      • Context-aware recommendations (priority ownership dependency mapping)
    • Partner with AI teams to operationalize agent-based automation within Jira workflows

Required Qualifications:

  • 10 years of experience as a Jira Administrator (Cloud preferred)
  • Deep expertise in:
    • Workflow configuration schemes and permissions
    • Jira Automation / Automation for Jira
  • Strong scripting experience:
    • Groovy (ScriptRunner) Python or similar
    • REST API integrations
  • Experience with toolchain integrations (e.g. GitHub CI/CD systems)
  • Proven ability to manage multi-team / multi-org Jira environments

Preferred Qualifications:

  • Experience implementing AI-driven workflow automation
  • Familiarity with:
    • Agentic AI concepts (autonomous agents orchestration frameworks LLM integration)
    • Prompt engineering or AI workflow design
  • Exposure to:
    • Large-scale software delivery environments (Agile / SAFe)
    • Enterprise data models and taxonomy design