Work on IAM-related use cases such as user lifecycle automation, access provisioning, de-provisioning, role management, access reviews, and exception handling.
Build integrations with enterprise applications, IAM platforms, directories, databases, and APIs.
Troubleshoot complex technical issues, perform root cause analysis, and implement permanent fixes.
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Work on IAM-related use cases such as user lifecycle automation, access provisioning, de-provisioning, role management, access reviews, and exception handling.
Build integrations with enterprise applications, IAM platforms, directories, databases, and APIs.
Troubleshoot complex technical issues, perform root cause analysis, and implement permanent fixes.
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Quality Assurance & Testing: Prepare test cases, execute data quality validations, identify anomalies, and support bug resolution.
Technical Documentation: Author and maintain clear project documentation, data mapping specs, and system guides.
Deployment & Knowledge Transfer: Support system deployments, assist in preparing user training materials, and participate in client onboarding activities.
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Security & Governance: Implement enterprise security controls on-site, including IAM policy management, network security groups, encryption standards, and local regulatory compliance rules.
Operations & Troubleshooting: Perform real-time technical troubleshooting, root-cause analysis (RCA), and operational support directly within the client environment.
Client Engagement: Communicate technical progress, document architecture setups, and provide technical advisory to local stakeholder teams.
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Maintain and harden existing sites — firmware, switch configs, IP documentation, rack hygiene, cable labelling, replacing failing routers and APs with minimal store downtime.
Reduce repeat work — when the same fault appears at three stores, you raise it, script around it or propose the permanent fix.
Support endpoints — in-store PCs, terminals and printers, remote support via SSH / RDP / RustDesk / MeshCentral / Intel AMT.
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Partner with AI engineers and developers — including agentic AI initiatives such as multi-agent orchestration systems, natural-language query layers over real-time vision event data, and LLM tool-use and automation — to scope, estimate, and sequence work accurately.
Develop detailed project plans, timelines, and resource allocation; monitor progress and report against KPIs.
Serve as the primary point of contact for clients, managing communication and expectations across technical and business audiences.
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