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Tier-1 brand, mid-level data title, and likely metro location increase candidate competition.
Observability tooling and telemetry skills transfer across industries, though domain knowledge adds moderate sensitivity.
Explicit 5+ years plus mandatory OTel and Splunk experience creates strict shortlisting filters.
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Implement and maintain observability instrumentation using OpenTelemetry and Global Cloud Observability frameworks across digital applications.
Develop and manage real-time operational dashboards and alerts using Splunk or ELK Stack to monitor application health and performance.
Analyze telemetry data to identify system performance issues and support incident investigations with root cause analysis.
Bachelor’s degree in Computer Science, IT, Data Analytics, or related field (or equivalent practical experience).
3 to 5 years of professional experience in data analysis, systems monitoring, application support, SRE, or related role.
Minimum 1 year hands-on experience with OpenTelemetry (OTel) or Global Cloud Observability frameworks.
At least 2 years hands-on experience using Splunk (SPL) or ELK Stack (Elasticsearch, Logstash, Kibana).
Strong technical background in telemetry data collection, distributed tracing, and log analysis within microservices or cloud-native environments.
Experience collaborating with cross-functional teams including software engineers, DevOps, and SRE to optimize system observability.
Skilled in building dashboards and alerts that effectively translate complex telemetry data into actionable insights for proactive monitoring.