AI Ops Engineer

Key Responsibilities

• Implement and enable applications for Splunk APM, RUM, and Synthetic monitoring.
  
  
• Onboard new applications and services to Splunk observability platforms.
  
  
• Maintain and enhance Splunk observability tools, including Infrastructure Monitoring.
  
  
• Continuously tune and optimize alert rules to improve accuracy and reduce noise.
  
  
• Coordinate with Operations for patching and upgrading Splunk agents across environments.
  
  
• Proactively monitor hosts, applications, and infrastructure to detect issues early.
  
  
• Create and fine-tune dashboards for actionable insights into system health.
  
  
• Configure and manage paging and alerting duties for timely incident response.
  
  
• Collaborate with cross-functional teams to expand monitoring coverage.
  
  
• Organize and lead bi-monthly operational meetings on Splunk and monitoring activities.
  
  
• Balance BAU tasks with continuous monitoring enhancements.
  
  
• Develop and update SOPs and knowledge base articles.
  
  

Requirements

• Diploma/Degree in IT, Computer Science, or related fields.
  
  
• Minimum 3 years of experience in IT monitoring, system engineering, or related roles.
  
  
• Strong knowledge of Splunk Observability tools (APM, RUM, Synthetic, Infrastructure Monitoring).
  
  
• Hands-on experience in alert tuning, dashboard creation, and incident monitoring.
  
  
• Familiar with patching/upgrading Splunk agents and working with operations teams.
  
  
• Strong problem-solving, analytical, and troubleshooting skills.
  
  
• Excellent communication skills for cross-team collaboration.