Specific duties include: engineering, implementing and administering SIEM platforms Splunk Enterprise and Splunk Enterprise Security in public cloud and on-premise datacenters; analyzing, designing, building and supporting Splunk Multi-Cluster Architecture; configuring, deploying, and maintaining the Cribl Log Stream platform; incident and Problem Management, Change and Release Management, Vendor Management, Capacity Management functions for these applications; support 24X7 monitoring and maintenance of the data platforms; product architecture, engineering and roadmap and Infrastructure Services for platforms supported by Cyber Data & Analytics team; assisting the content engineering team in developing security-focused content threat detection logic and operational dashboards in Splunk; log telemetry and Data onboarding to cyber data platforms like Splunk, Databricks etc., using data routing tools like Cribl; engineer & build large scale data platforms in public clouds (AWS, Azure) to support Cyber Threat Detection, Analytics, Observability & Cyber Research functions using DevOps tooling and CI/CD processes; provide engineering and design support to meet growth needs while maintaining performance, stability and scalability of the platforms; gain Knowledge managing Security solutions like DLP, Zscaler, Palo Alto, Symantec solutions, McAfee, or Active directory or similar security stacks; and attain one or more of the following certifications: Splunk Certified Admin, Splunk Enterprise Security Certified Admin, Splunk IT Service Intelligence Certified Admin, or AWS Certified Solutions Architect. Kubernetes platforms like AWS EKS or OpenShift Container Platform; solid ability to Maintain, Manage and Monitor large scale data platforms like Splunk, Cribl; demonstrated experience in clustering and load balance Environments setup; proven ability to provide production support, root cause analysis, troubleshooting, and expedient remediation of Splunk instance issues; proven solid ability in writing Splunk queries in Splunk Programming Language (SPL) and data ingestion, normalization; demonstrated understanding of Splunk APIs and SDK; demonstrated experience developing in XML, Bash, JavaScript and Python, Perl, PowerShell scripts; experience with log management, data processing, and data analytics; knowledge of networking and switching protocols, and infrastructure services to troubleshoot and identify DNS, NTP, routing, switching, and firewall issues affecting connectivity of Splunk instances to users, end nodes, and heavy forwarders; solid Documentation skills and team player who can work in an "Agile" fashion.