AI Engineer (OPs Senior Level)

Roles & Responsibilities

Key Responsibilities

• Architect, implement, and optimize Splunk ITSI solutions, including KPIs, glass tables, service analyzers, and service dependency maps.
• Lead end-to-end observability across enterprise applications, infrastructure, and distributed systems.
• Perform advanced SPL-based log analytics, event correlation, anomaly detection, and root cause analysis (RCA).
• Configure ITSI Episode Review, correlation searches, and notable event management for proactive incident detection.
• Implement machine learning-based anomaly detection and predictive analytics using Splunk MLTK.
• Integrate ServiceNow CMDB with Splunk ITSI for automated CI synchronization and service topology mapping.
• Develop Python and Linux automation scripts for monitoring, event management, and operational efficiency.
• Drive observability best practices aligned with ITIL, SRE, and AIOps frameworks.

Experience and Skills Required

• Bachelor's degree in Computer Science, Engineering, IT, or a related field.
• 8+ years of experience in observability engineering, IT operations, or enterprise monitoring.
• Advanced hands-on experience with Splunk ITSI, Splunk Enterprise, SPL, and ITSI Service Analyzers.
• Strong expertise in service modeling, KPI management, glass tables, and event aggregation.
• Proficiency in ServiceNow CMDB, CIs, service mapping, and ITSM integrations.
• Experience with Splunk MLTK, machine learning, anomaly detection, and predictive analytics.
• Strong scripting skills in Python, Bash, and Linux automation.
• Expertise in ITIL, SRE, AIOps, incident management, and problem management.
• Strong experience in observability architecture, performance monitoring, and RCA.
• Excellent analytical, troubleshooting, and stakeholder management skills.

Tell employers what skills you have

Computer Engineering
Splunk
Organization of Events
describing services
Implementation of ITIL procedures
Architect
Log Management
KPI Reports
End-To-End Support
KPI Dashboards
Automation Tools
AIOps
Predictive Analytics
Operational Monitoring
automated monitoring
Anomaly Detection
Incident Management
Analysis Services