Qualifications:

• Master’s degree in Computer Science, Technology Management or related field and 3 years of experience. Will also accept a Bachelor’s degree and 5 years of experience.

• Must have experience with: supporting, operating, and managing large-scale Splunk environments;

• Splunk Cloud and enterprise deployment, configuration, and administration;

• Splunk architecture including Indexing, Search Head Clustering, and data onboarding;

• SPL (Search Processing Language); Query Optimization;

• Data onboarding using Universal Forwarders; HTTP Event Collector (HEC);

• Leading troubleshooting efforts; implementing performance improvements;

• Supporting enterprise-level monitoring solutions; load-balancing data ingestion using TCP/UDP protocols;

• Leveraging native Splunk load-balancing capabilities for optimized performance and scalability; configuring, deploying, and maintaining Cribl Stream and Cribl Edge;

• Cribl log management and data routing; Syslog; Splunk UF/HEC;

• Enterprise-scale telemetry management and data normalization;

• Designing and implementing Cribl Packs for efficient data parsing and advanced data transformation;

• Infrastructure as Code (IaC) automation and configuration tools including AWS CloudFormation, Terraform, Ansible, and Packer; AWS security best practices, including IAM policies, encryption methods, and compliance standards;

• Network protocols including TCP/IP, DNS, VLANs, and VPNs; routers, switches, firewalls, load balancers, and wireless access points; firewalls, IDS/IPS, NAC, and network segmentation;

• TCP/UDP Port configuration and performance tuning; Linux operating systems including RHEL, CentOS, and Ubuntu;

• Command-line and shell scripting with Bash, Python, and Perl; configuration management tools including Ansible, Puppet, and Chef;

• CI/CD pipelines and tools including GitLAB CI; and

• AWS including EC2, Lambda, ECS, EKS, S3, and Control Tower.