Splunk Engineer
Job Location:
Dallas, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
| Position Title | Splunk Engineer |
| Location | Remote (100%) |
| Type of Hire | Contract |
| Start Date | Immediate |
Project description
- The project focuses on enhancing enterprise observability operational monitoring and reporting capabilities through Splunk.
- The selected candidate will support Splunk dashboard development monitoring and alerting improvements data onboarding initiatives log analysis and reliability engineering efforts across application and infrastructure environments.
- The role also includes working with network telemetry and network operational data to improve visibility performance monitoring and troubleshooting across enterprise network environments.
Responsibilities
- Design develop and maintain Splunk dashboards reports and alerts for operational security and business monitoring.
- Develop and optimize SPL queries for data analysis reporting and visualization.
- Create and maintain field extractions lookups and data parsing configurations.
- Collaborate with stakeholders to gather reporting requirements and deliver effective Splunk solutions.
- Support onboarding of new data sources monitoring initiatives alerting configurations and root cause analysis activities.
- Onboard normalize and analyze network telemetry and network device data from routers switches firewalls load balancers and other infrastructure components.
- Develop dashboards and reporting solutions focused on network health capacity performance traffic analysis and operational metrics.
- Partner with network engineering and operations teams to support troubleshooting performance optimization and observability initiatives.
- Perform network data analysis and correlation across logs metrics and events to identify trends anomalies and root causes.
Skills Must have
- Mandatory Skills include: Linux Log Analysis Site Reliability Engineer (SRE) Splunk Network Data Engineering Network Monitoring & Observability
- Mandatory skills list: Splunk Enterprise / Splunk Cloud
- Search Processing Language (SPL)
- Log Analysis
- Site Reliability Engineering (SRE)
- Dashboard Development
- Regex
- Linux/Unix
- JSON
- XML
- CSV
- Network Data Analysis
- Network Monitoring
- Network Telemetry (Syslog SNMP NetFlow IPFIX Streaming Telemetry)
- TCP/IP Networking Fundamentals
Mandatory Skills Description:
- 10 years of overall IT experience with at least 2-3 years of hands-on Splunk experience.
- Strong expertise in SPL including commands such as stats timechart transaction eval rex lookup and mv.
- Experience building interactive dashboards drilldowns reports and visualizations.
- Strong understanding of field extractions lookups indexes sourcetypes and search-time versus index-time processing.
- Experience working with structured and unstructured log data formats.
- Knowledge of Linux/Unix commands for log analysis and troubleshooting.
- Strong analytical communication and stakeholder management skills.
- Experience supporting enterprise monitoring observability and operational reporting initiatives.
- Knowledge of monitoring and alerting best practices including email and webhook notifications.
- Experience onboarding new data sources and validating data quality and indexing.
- Familiarity with root cause analysis using log metric and event correlation techniques.
- Background in infrastructure operations application support production support or security monitoring environments.
- Experience working with network operational data including Syslog SNMP NetFlow IPFIX packet-level metrics and device-generated telemetry.
- Understanding of enterprise networking concepts including routing switching firewalls load balancing DNS DHCP and network performance monitoring.
- Experience designing Splunk dashboards and analytics solutions for network operations and observability use cases.
- Ability to correlate network events infrastructure logs and application telemetry to support troubleshooting and performance optimisation.
- Experience leveraging AI tools such as GitHub Copilot Microsoft 365 Copilot and enterprise-approved GenAI solutions to improve productivity and delivery quality