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Tier-1 employer, mid-level role, metro Hyderabad, but niche Splunk/Cribl skills present.
Specialized observability, Splunk/Cribl, and banking compliance needs limit cross-industry transferability.
Explicit 5+ years and mandatory Splunk/Cribl, cloud, Kubernetes expertise make filters strict.
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Lead architecture, reliability, and scalability of enterprise logging and telemetry platforms across hybrid and cloud environments.
Design and implement high-volume log ingestion pipelines, AI/ML models for anomaly detection, and autonomous AI systems for log analysis and remediation.
Collaborate with platform, SRE, and security teams to embed AI-driven insights into incident response and ensure auditability and governance compliance.
5+ years of software engineering experience or equivalent demonstrated via work, training, military, or education.
Experience with enterprise logging platforms such as Splunk, including search optimization and platform operations.
Experience with AI/ML model integration and development of autonomous AI/agentic systems for telemetry data analysis.
Proficiency in at least one programming language: Python, Java, Go, or Scala.
Deep expertise managing large-scale Splunk infrastructures including clustered, multi-site, and cloud deployments.
Strong hands-on experience with Cribl for telemetry pipeline optimization and Splunk ITSI service modeling and episode management.
Experience designing AI/ML-powered observability solutions and integrating agentic AI systems within cloud-native or hybrid environments.