Jira Cloud Administrator with Agentic AI

Jira Cloud Administrator with Agentic AI

Posted Today by HR Pundits

Negotiable
Undetermined
Remote
Remote

Summary: The Jira Administrator role focuses on managing and evolving Jira Cloud configurations while implementing automation and AI-assisted workflows. The position requires extensive experience in scripting and integration, particularly with tools like ScriptRunner and REST APIs. The candidate will also partner with AI teams to operationalize agent-based automation within Jira workflows. This is a remote position requiring availability in the Mountain Time zone.

Key Responsibilities:

  • Manage and evolve Jira Cloud configurations (projects, workflows, schemes, permissions, automation rules)
  • Ensure platform scalability, governance, and alignment with enterprise operating models
  • 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
  • Develop and maintain scripts using tools such as ScriptRunner (Groovy) and REST APIs (Jira, GitHub, ServiceNow, etc.)
  • Enable integrations across toolchain (Jira, GitHub, Jama, CRM, internal systems)
  • Design and implement AI-assisted workflows and decision agents, including intelligent triage assignment and automated work classification
  • Partner with AI teams to operationalize agent-based automation within Jira workflows

Key Skills:

  • 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
  • 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

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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

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

Contract/FullTime

Exp: 10+yrs

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