Negotiable
Outside
Remote
USA
Summary: The Lead Engineer Atlassian with RovoAI is responsible for leading the integration of Rovo AI with Atlassian tools, ensuring compliance and data governance, and optimizing knowledge management processes. This role requires designing knowledge graph structures and building data pipelines while collaborating with enterprise stakeholders. The ideal candidate will have strong experience with the Atlassian ecosystem and a solid understanding of AI/ML principles. The position emphasizes both technical expertise and excellent communication skills.
Key Responsibilities:
- Lead the roadmap of Atlassian & future state to include Rovo AI, integrating it with Jira, Confluence, and third-party tools Set standards, governance, access management & automation at security level Strategic migration planning & deployment plan
- Design and maintain knowledge graph structures to optimize semantic search, smart answers, and context-aware recommendations.
- Build pipelines and connectors to ingest structured and unstructured data into the Rovo AI platform using REST APIs or Atlassian Forge.
- Develop custom extensions or configurations to surface relevant analytics, usage insights, and team performance metrics.
- Ensure compliance, data governance, and secure access control for Rovo-integrated environments.
- Work with enterprise stakeholders to align Rovo AI capabilities with knowledge management, workflow automation, and reporting needs.
Key Skills:
- Strong experience with Atlassian ecosystem tools (Jira, Confluence, Bitbucket, etc.)
- Understanding of AI/ML principles, particularly in enterprise search, semantic context, and knowledge graphs
- Hands-on experience with data engineering, API integrations, and analytics platforms (e.g., Snowflake, Tableau, Power BI)
- Familiarity with Atlassian Forge, GraphQL, or cloud-native development (AWS, Google Cloud Platform)
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Key Responsibilities
- Lead the roadmap of Atlassian & future state to include Rovo AI, integrating it with Jira, Confluence, and third-party tools Set standards, governance, access management & automation at security level Strategic migration planning & deployment plan
- Design and maintain knowledge graph structures to optimize semantic search, smart answers, and context-aware recommendations.
- Build pipelines and connectors to ingest structured and unstructured data into the Rovo AI platform using REST APIs or Atlassian Forge.
- Develop custom extensions or configurations to surface relevant analytics, usage insights, and team performance metrics.
- Ensure compliance, data governance, and secure access control for Rovo-integrated environments.
- Work with enterprise stakeholders to align Rovo AI capabilities with knowledge management, workflow automation, and reporting needs.
Ideal Background
- Strong experience with Atlassian ecosystem tools (Jira, Confluence, Bitbucket, etc.)
- Understanding of AI/ML principles, particularly in enterprise search, semantic context, and knowledge graphs
- Hands-on experience with data engineering, API integrations, and analytics platforms (e.g., Snowflake, Tableau, Power BI)
- Familiarity with Atlassian Forge, GraphQL, or cloud-native development (AWS, Google Cloud Platform)
Soft skills:
-Advisor/consultant, not an order taker (10/10 communication)