Position - Splunk ITSI Experience - 10- 15 Years Location- Hyderabad JD Splunk ITSI Expertise in utilizing Citrix observability data with Splunk IT Service Intelligence for comprehensive monitoring and analytics of Citrix environments VDI and VM Observability Proficient in monitoring Virtual Desktop Infrastructure VDI and Virtual Machines VMs for performance reliability and scalability OpenTelemetry Kafka and Splunk Grafana Hands-on experience with OpenTelemetry for unified telemetry Kafka for real-time data ingestion and Splunk Grafana for powerful data visualization and alerting Data Science Machine Learning Proficient in Python TensorFlow PyTorch Scikit-learn Pandas NumPy for developing machine learning models for anomaly detection and root cause analysis ETL Data Analysis Extensive knowledge of ETL techniques using Apache Airflow Apache NiFi and Spark Distributed Systems Cloud Thorough understanding of Kubernetes Docker and service mesh technologies Istio Linkerd with experience in AWS Azure and GCP observability services Event-Driven Architectures Experience with Kafka RabbitMQ and integrating observability into event-driven architectures Time-Series Analysis Predictive Analytics Skills in time-series analysis for predictive maintenance and alerting Security Compliance Ensuring observability data is managed securely and in compliance with regulations like GDPR HIPAA Performance Optimization Ability to conduct root cause analysis and improve observability for system optimization Experience Lead Observability Project in Citrix Workplace Directed the implementation of Citrix observability with Splunk ITSI enhancing the monitoring of over 1 000 virtual desktops and applications Improved MTTR by 40 and increased user satisfaction VDI and VM Observability Designed and deployed observability solutions for VDI and VMs using OpenTelemetry and Splunk ensuring performance and availability of critical applications and infrastructure Advanced Monitoring Analytics with Kafka and Splunk Spearheaded the deployment of real-time monitoring solutions using Kafka for event streaming and Splunk for visualization and alerting in a high-traffic environment Machine Learning-Driven Anomaly Detection Developed and implemented machine learning algorithms in Python for anomaly detection in telemetry data Cross-Functional Collaboration Worked closely with SREs DevOps and development teams to enhance system reliability and incident response Job Types Full-time Permanent Pay 2 500 000 00 - 3 000 000 00 per year Work Location In person

📌 Splunk itsi (Telangana)
🏢 DIVFINITE
📍 Telangana