Senior Technical Systems Analyst – Atlassian Cloud Infrastructure & AI Engineering

Concentrix is a global technology and services leader that powers the world’s best brands. They are seeking a Senior Technical Systems Analyst to lead complex initiatives related to Atlassian Cloud migration, AI integration, and digital employee experience optimization, requiring deep technical expertise and strong analytical capabilities.

Responsibilities:

• Lead technical discovery and analysis for migrating on‑premise Atlassian applications to Atlassian Cloud
• Inventory and assess existing Atlassian applications, plugins, integrations, API dependencies, and infrastructure touchpoints
• Evaluate functional and architectural differences between Data Center and Cloud offerings, identifying capability gaps, security constraints, and technical risks
• Support licensing and cost modeling, delivering Cloud migration recommendations and phased transition plans within 2–3 months
• Evaluate AI integration opportunities including Microsoft Copilot, Atlassian Intelligence, and platform‑specific AI capabilities
• Conduct technical constraints analysis covering data quality, system dependencies, integration patterns, and enterprise governance requirements
• Develop an execution‑ready action plan outlining feasible AI capabilities, tooling benefits, and system readiness steps
• Analyze the current Service Catalog structure, taxonomy, and workflow complexity with an engineering-focused lens
• Recommend improvements that simplify service discovery, reduce friction, and maximize reuse of existing platforms
• Identify opportunities to enhance the digital employee experience through automation, self‑service optimization, and platform enhancements
• Review and analyze the current asset management data model and evaluate readiness for migration to Jira Assets
• Provide technical guidance on data cleanup, taxonomy normalization, schema design, and migration planning
• Recommend future-state asset management structures aligned with scalable configuration management and lifecycle tracking needs
• Collaborate with engineering, business, IT operations, and platform teams to gather requirements and facilitate workshops
• Produce clear, technically detailed assessments, system gap analyses, architecture considerations, and roadmaps
• Ensure documentation is robust, structured, and accessible to both technical and non‑technical audiences

Requirements:

• Deep technical systems expertise
• Strong analytical capabilities
• Ability to translate architectural and integration requirements into actionable, scalable solutions
• Lead technical discovery and analysis for migrating on‑premise Atlassian applications to Atlassian Cloud
• Inventory and assess existing Atlassian applications, plugins, integrations, API dependencies, and infrastructure touchpoints
• Evaluate functional and architectural differences between Data Center and Cloud offerings, identifying capability gaps, security constraints, and technical risks
• Support licensing and cost modeling, delivering Cloud migration recommendations and phased transition plans within 2–3 months
• Evaluate AI integration opportunities including Microsoft Copilot, Atlassian Intelligence, and platform‑specific AI capabilities
• Conduct technical constraints analysis covering data quality, system dependencies, integration patterns, and enterprise governance requirements
• Develop an execution‑ready action plan outlining feasible AI capabilities, tooling benefits, and system readiness steps
• Analyze the current Service Catalog structure, taxonomy, and workflow complexity with an engineering-focused lens
• Recommend improvements that simplify service discovery, reduce friction, and maximize reuse of existing platforms
• Identify opportunities to enhance the digital employee experience through automation, self‑service optimization, and platform enhancements
• Review and analyze the current asset management data model and evaluate readiness for migration to Jira Assets
• Provide technical guidance on data cleanup, taxonomy normalization, schema design, and migration planning
• Recommend future-state asset management structures aligned with scalable configuration management and lifecycle tracking needs
• Collaborate with engineering, business, IT operations, and platform teams to gather requirements and facilitate workshops
• Produce clear, technically detailed assessments, system gap analyses, architecture considerations, and roadmaps
• Ensure documentation is robust, structured, and accessible to both technical and non‑technical audiences
• Experience supporting AI enablement initiatives, including automation enhancements and improvements to internal service delivery platforms
• Working knowledge of Atlassian ecosystem tools such as Jira, Confluence, and Jira Assets