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Tier-1 brand and metro location increase competition; seniority and niche monitoring reduce it.
Monitoring skills transfer across industries but multi-domain/mainframe experience raises moderate sensitivity.
Explicit 8–12 years requirement and domain/tool mandates create high shortlisting strictness.
Analyze and optimize alerts across multiple monitoring domains including infrastructure, application, batch, network, and mainframe to reduce alert noise and improve signal quality.
Develop functional understanding of how monitoring sources generate events to identify recurring patterns and support data-driven improvements across event streams.
Collaborate with cross-functional teams to enhance monitoring coverage and quality and support adoption of AI/automation-driven approaches for alert efficiency and manual effort reduction.
8–12 years experience in monitoring, event management, or production support environments.
Exposure to multi-domain monitoring environments such as infrastructure, application, batch, network, or mainframe.
Functional understanding of alert generation by monitoring systems; demonstrated contribution to alert reduction or monitoring improvements.
Experience or exposure to tools like Netcool, BigPanda, Splunk, AutoSys or similar technologies relevant to event management and monitoring.
Experienced in complex multi-domain monitoring environments with a track record of reducing alert noise and improving monitoring effectiveness.
Strong analytical ability to identify patterns in event data and implement data-driven optimization strategies.
Comfortable working cross-functionally and integrating AI/automation methods to improve monitoring processes and alert quality.