- North Bridge Road Downtown Core Central Region (Singapore) Singapore
全职 AI Engineer (OPs Senior Level) 工作, 薪水 up to SGD 12,000, ANTAS PTE. LTD. Central Region (Singapore) 公司招聘中 - Ricebowl
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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.
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.
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