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.


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.


Skills


Must have


Mandatory Skills:


Splunk Enterprise / Splunk Cloud


Search Processing Language (SPL)


Log Analysis


Site Reliability Engineering (SRE)


Dashboard Development


Regex


Linux/Unix


JSON


XML


CSV


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 leveraging AI tools such as GitHub Copilot, Microsoft 365 Copilot, and enterprise-approved GenAI solutions to improve productivity and delivery quality.


Nice to have


Exceptional communication skills


Other

Languages


English: C1 Advanced


Seniority


Senior