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Niche Atlassian+LLM skillset, non-metro location, and mid-senior level reduce candidate density.
Role requires domain-specific Atlassian and AI prompt skills, making cross-industry transferability limited.
Explicit 6+ years and 2+ years AI experience plus required Python, Atlassian, and prompt-engineering skills.
Configure and operationalize platform-native AI capabilities in Atlassian Cloud focusing on pre-migration analysis and productivity enhancements.
Support migration engineering team with AI-assisted analysis such as workflows rationalization, duplication detection, and anomaly surfacing.
Build prompt libraries, agent playbooks, and use-case catalogues; develop automation scripts; track AI adoption metrics; and enable stakeholders through training and documentation.
6+ years in software/data engineering with at least 2 years hands-on in applied AI/LLM including prompt engineering and agent configuration.
Proficiency in Python and REST APIs for scripting and analysis of large administrative datasets.
Practical familiarity with Atlassian platform (Jira, Confluence) and its automation framework; ability to quickly learn Atlassian Intelligence and Rovo capabilities.
Work Experience Required: 6+ years in software/data engineering
Use-case-first working style emphasizing measurable benefits over tool-centric approaches.
Experienced in clear documentation and enablement, comfortable presenting to non-technical stakeholders.
Familiarity with enterprise responsible-AI guardrails, regulated-industry AI constraints, and Atlassian ecosystems (Forge, Connect) is advantageous but not mandatory.