Applied AI Engineer deploying AI - enabled solutions for enterprise customers while collaborating with teams. Involves direct customer interaction and technical project execution.
About the role
- Senior Observability Engineer responsible for log analysis framework management at Gartner. Collaborating on technology solutions to enhance operational capabilities and business velocity.
Responsibilities
- Responsible for the management and coordination of day-to-day and strategic operations of our log analysis framework
- Develop L0-L2 SOP’s related to the operational support of the logging framework
- Collect and report relevant KPIs that clearly show value/ROI and progression of the log analysis service
- Stay abreast of emerging technology advancements of the current logging platform and/or open-source alternatives including implementation of pilots and/or POC/POV’s
- Recognize and onboard new data sources into Splunk, analyze data for anomalies and trends, and build relevant dashboards/alerts that improve visibility
- Responsible for the installation, configuration, and ongoing administration of Cribl environments
- Collaborate with cross-functional teams to optimize log pipelines and maintain system reliability
- Ensures secure, efficient, and compliant data flows to support organizational observability and security needs
- Develop/Refine organizations pattern based automated log ingestion via tight integration with existing/emerging technology pipelines and/or create a robust and repeatable onboarding process
- Ensure proper operation and performance of Splunk index cluster, search heads, other backend components, universal forwarders, modules/plug-ins, and connectors
- Standardize Splunk agent deployment, configuration, and maintenance across multiple configuration management systems
- Develop, Manage, and Maintain the organization's Event Management Framework
- Administers and maintains Grafana environments, ensuring reliable dashboard performance and secure user access
- Designs and develops interactive Grafana dashboards for real-time data visualization and monitoring
- Manages and optimizes ClickHouse database clusters to ensure high performance, availability, and data integrity
- Utilizes ClickHouse for efficient querying and analysis of large-scale datasets to support business insights
- Educate/mentor junior team members to grow their capabilities and skills
Requirements
- 4+ years in a role supporting the operational needs of a relevant enterprise log analysis framework
- Bachelor's degree in Computer Science, or related discipline, or equivalent work experience
- In-depth experience installing, configuring, maintaining log analysis & visualization & next gen pipeline tools such as Splunk, Grafana, Clickhouse & Cribl
- Basic familiarity with a wide array of IT monitoring tools, ITIL & Devops framework(s), and ITSM tools
- Proficiency in leveraging regular expression patterns
- Understanding of Windows Server and Linux Operating Systems Administration
- Hands-on & practical experience of log aggregation related to Cloud Platforms, server-less compute, and micro-services (Lamba, Docker, SSM,RDS)
Benefits
- world-class benefits
- highly competitive compensation
- disproportionate rewards for top performers
- flexibility and support for hybrid work environment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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