Jira Engineer

 Posted 12 hours ago
     
 $40 - $45 per hour
  
10+ years experience
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AI Summary

Manage and evolve Jira Cloud configurations, including workflows, permissions, and automation rules to ensure platform scalability. Design and implement AI-assisted workflows and agent-based automations to optimize triage and routing.
Benefits:
  • Competitive salary
  • Opportunity for advancement
  • Training & development
Job Title: Jira Administrator (Automation, Scripting & Agentic AI)
Location: Remote (Candidate must be available in Mountain Time zone)
 
Key Responsibilities
• Jira Platform Administration
o Manage and evolve Jira Cloud configurations (projects, workflows, schemes, permissions, automation rules)
o Ensure platform scalability, governance, and alignment with enterprise operating models
• Workflow Design & Automation
o Design and implement end-to-end workflows aligned to intake, triage, delivery, and reporting
o Build advanced automations to reduce manual intervention and improve cycle time
• Scripting & Integration
o Develop and maintain scripts using tools such as:
 ScriptRunner (Groovy)
 REST APIs (Jira, GitHub, ServiceNow, etc.)
o Enable integrations across toolchain (Jira ↔ GitHub, Jama, CRM, internal systems)
• Agentic AI Enablement
o 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)
o 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:
o Workflow configuration, schemes, and permissions
o Jira Automation / Automation for Jira
• Strong scripting experience:
o Groovy (ScriptRunner), Python, or similar
o 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:
o Agentic AI concepts (autonomous agents, orchestration frameworks, LLM integration)
o Prompt engineering or AI workflow design
• Exposure to:
o Large-scale software delivery environments (Agile / SAFe)
Enterprise data models and taxonomy design

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