What are the responsibilities and job description for the Jira Administrator with Atlassian Forge apps exp at Austin, TX (Onsite) position at Yochana IT Solutions?
Jira Administrator with Atlassian Forge apps exp
Location: Austin, TX (Onsite)
Duration: 6 Months
We need candidates with more hands-on development and scripting experience, particularly those who have developed and deployed Atlassian Forge apps in production environments
Job Description:
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