Splunk Engineer​/Splunk Developer

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.

• 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.

• Mandatory
  
  Skills:
  
  Splunk Enterprise / Splunk Cloud, Search Processing Language (SPL), Log Analysis, Site Reliability Engineering (SRE), Dashboard Development, Regex, Linux/Unix, JSON, XML, CSV.
• 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, drill downs, reports, and visualizations.
• Strong understanding of field extractions, lookups, indexes, source types, 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 leveraging AI tools such as Git Hub Copilot, Microsoft 365 Copilot, and enterprise‑approved GenAI solutions to improve productivity and delivery quality.

Exceptional communication skills