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Senior, highly specialized observability role at a Tier-1 company reduces qualified applicant density.
Requires deep SRE, observability and enterprise platform experience, limiting cross-industry transferability.
Explicit 18+ years requirement plus mandatory deep observability, SRE and AIOps skills enforces strict filters.
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Define and implement enterprise-wide AI Observability strategy, standards, and roadmap for improved system reliability and operational efficiency.
Lead end-to-end observability capabilities including telemetry framework, alerting aligned to business impact, AIOps event correlation, and automated incident response.
Collaborate with SRE, application, infrastructure, and service management teams to drive continuous improvement in incident detection, resolution, and self-healing workflows.
Minimum 18+ years of experience in IT Operations, SRE, Observability, or Platform Engineering.
Strong expertise with observability technologies (logs, metrics, traces), SRE practices (SLIs, SLOs, error budgets), and incident management automation.
Experience with AIOps and event management techniques including event correlation, alert deduplication, and noise reduction.
Hands-on experience with observability platforms and ITSM integrations (specific tools not mandated).
Senior-level professional with extensive knowledge of distributed systems, cloud environments, and telemetry pipelines.
Proven ability to lead cross-functional teams in standardizing observability practices and automation workflows.
Experience working with enterprise-scale operations requiring predictive detection, anomaly identification, and executive-level dashboarding.