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Jira Engineer
Job in
Huntsville, Madison County, Alabama, 35824, USA
Listed on 2026-06-27
Listing for:
ZENITH INFOTEK LLC
Full Time
position Listed on 2026-06-27
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software)
Job Description & How to Apply Below
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)
- 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:
- Script Runner (Groovy)
- REST APIs (Jira, Git Hub, Service Now, etc.)
- Enable integrations across toolchain (Jira, Git Hub, Jama, CRM, internal systems)
- Develop and maintain scripts using tools such as:
- 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
- Design and implement AI‑assisted workflows and decision agents, including:
- 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 (Script Runner), Python, or similar
- REST API integrations
- Experience with toolchain integrations (e.g., Git Hub, CI/CD systems)
- Proven ability to manage multi‑team / multi‑org Jira environments
- 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
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