Senior Splunk Engineer

Senior Splunk Engineer
DETAILS
Location: Bensalem, PA (onsite 5-days per week)
Position Type: 3-6M C2H
Hourly / Salary: to $90W2

JOB SUMMARY
Vaco is currently seeking a Senior Splunk Engineer for a 3-6M C2H that is located in Bensalem, PA (onsite 5-days per week).  The Senior Splunk Engineer will engineer, deploy, configure, and validate a multi-site, highly available Splunk Enterprise platform and extend the platform with Splunk ES.  The Senior Splunk Engineer will handle platform buildout, data onboarding, CIM alignment, ES enablement, tuning, and operational readiness.

• Splunk Architecture – Design / Implement Multi-Site / Highly Available Splunk Enterprise Deployments | Cluster Manager / License Master / Deployer / Deployment Server / Monitoring Console / Multi-Site Indexer Cluster / Search Head Cluster
• Forwarder Deployment – Deploy / Configure Universal Forwarders / Heavy Forwarders | Build Deployment Apps / Server Classes / Automated Rollout Scripts
• Data Onboarding – Onboard / Validate Data Sources (Windows / Firewall / Cloud) | Ensure Proper Common Information Model (CIM) Alignment
• Platform Configuration – Configure Custom Indexes / Authentication (LDAP / SAML) / SMTP Relay / Load Balancer Requirements
• Splunk ES (Enterprise Security) – Install / Configure / Operationalize Splunk ES
• ES Validation – Validate ES Data Model Acceleration / Correlation Searches / Dashboards / Notable Events / Detection Use Case Logic
• Detection / Performance Tuning – Tune Correlation Searches / Thresholds / Data Models / Overall Platform Performance
• Platform Integration – Ensure ES Content Integration with the Underlying Splunk Enterprise Deployment
• Documentation – Produce As-Built Documentation / Architecture Diagrams / Runbooks / Tuning Guidance / Operational Procedures
• Platform Validation – Validate Ingest Pipelines / Cluster Stability / Search Performance / CIM Compliance / ES Functionality
• Knowledge Transfer / Enablement – Provide Technical Knowledge Transfer / Hands-On Enablement to Customer Engineering Teams

JOB REQUIREMENTS

• Senior Splunk Engineering (5+ years) – Engineering Splunk Enterprise in Distributed / Clustered Environments
• Splunk Performance / Tuning (expertise) – Diagnosing / Optimizing Platform Performance | Indexer Cluster Replication Factors / Search Head Clustering Member Health / Data Model Acceleration / KV Storage Usage / Resource Utilization (CPU / Memory / I/O) | Reducing MTTR via Proactive Tuning of Correlation Searches / Thresholds / Suppression Rules
• Splunk SPL (advanced) – Write / Optimize / Debug Complex SPL Queries (Statistical Commands / Lookups / Macros / Eventtypes / Tags / Data Models / Subsearches) for Detection Logic / Performance Tuning / Custom Content Development)
• Splunk ES Deployment (hands-on) – Deploying / Tuning Splunk Enterprise Security in Production Environments | Configure / Operationalize / Maintain SE | Installation / App/Framework Enablement / Data Model Acceleration / Notable Event Handling / Risk-Based Alerting / Asset/Identity Correlation / Integration with Core Splunk
• Data Onboarding / CIM (advanced) – Onboard Diverse Data Sources (Windows Events / Firewall Logs / Cloud Services / Endpoints / Networks) / Perform Common Information Model (CIM) Alignment (Field Extractions / Props.conf/Transforms.conf Configuration)
• Scripting / Automation – Python / BASH / PowerShell | Automating Forwarder Deployments / Configuration Management / Rollout Scripts / Custom Apps / REST API Interactions, etc.
• Linux Administration (strong) – Server Hardening / Package Management / File System Configuration Process Monitoring / Log Rotation / Troubleshooting Splunk Processes in Linux-based Deployments
• Networking (strong understanding) – Enterprise Networking Fundamentals | TCP/IP / Firewalls / Load Balancers / DNS / VLANs | Network Troubleshooting | Splunk Impact (Data Flow / Forwarder Communication / Clustering Replication / Search Head Clustering)
• Authentication Integration – Integrating with Enterprise Authentication Systems (LDAP / SAML / AD / SSO Providers) | Configuring RBAC / Implementing Secure Multi-Tenancy
• Documentation / Operationalization – Create / Develop / Maintain Technical Documentation / Runbooks / Operational Procedures

PREFERRED (not required)

• Splunk Certifications – SPLK-1003 (Splunk Administrator Certification) / SPLK-3003 (Splunk Architect Certification) / SPLK-5001 (Splunk Enterprise Security Certified Admin)
• Enterprise Deployments – Supporting Large-Scale / Multi-Site Enterprise Deployments
• Security Operations (familiarity) – Security Operations Workflows | SIEM Detection / Performance Tuning Practices

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.