Splunk Engineering Lead

  • location: Los Angeles, CA
  • type: Permanent
  • salary: $140,000 - $150,000 per year
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job description

Splunk Engineering Lead

job summary:
Responsibilities

  • Implement and support Splunk's Artificial Intelligence and Machine Learning in the environment.
  • Implement and support Splunk ITSI.
  • Implement and support Splunk Enterprise Security.
  • Standardize Splunk forwarder deployments, configurations and maintenance across a variety of UNIX, Windows and Virtualization platforms and API Connectors.
  • Troubleshoot Splunk server and forwarder problems and issues.
  • Lead the design and maintenance of production-quality dashboards and reports customization efforts.
  • Assist internal users of Splunk in designing and maintaining production-quality dashboards.
  • Provide Splunk training to internal customers as required.
  • Participate as an escalation point for 24×7 operations support for Splunk.
  • Monitor the Splunk infrastructure for performance and capacity planning and optimization.
  • Develop, implement and support Application performance monitoring solutions.
  • Support Splunk on Linux, Windows and virtualization platforms.
  • Document implementation requirements and best practices for all developed applications/solutions.
  • Design, support and maintain the Splunk infrastructure in a highly available configuration.
  • Responsible for systems performance & capacity planning for all CareConnect system and Enterprise specific infrastructure components.
  • Provide hands on direction as well as thought leadership to infra teams.
  • Lead resolution of performance and scalability problems.
  • Candidate must be able to clearly illustrate and explain standards of excellence for developing best practices in areas of Capacity & Performance.
  • Provides input and guidance to the build teams, Infrastructure Operations, and the platform technical and Application Architects.
  • Define and implement Capacity and Performance Management methodology, processes and procedures including: develop baseline model, lead capture and validation of business volumetric, implement process for ongoing business volumetric capture.
  • Implement feedback loop for calibration of baseline model with actual measurement captured through performance testing.
  • Participate in infrastructure and applications design reviews.
  • Coordinate internal systems performance testing and metrics with Epic performance testing team.
  • Conduct root cause analysis for performance and scalability problems.
  • Provide input into all major application solution decisions.
  • Coordinate with the Build and Architecture Teams to provide guidance in the configuration of the solution.
 
location: Los Angeles, California
job type: Permanent
salary: $140,000 - 150,000 per year
work hours: 8am to 5pm
education: No Degree Required
 
responsibilities:
Responsibilities

  • Implement and support Splunk's Artificial Intelligence and Machine Learning in the environment.
  • Implement and support Splunk ITSI.
  • Implement and support Splunk Enterprise Security.
  • Standardize Splunk forwarder deployments, configurations and maintenance across a variety of UNIX, Windows and Virtualization platforms and API Connectors.
  • Troubleshoot Splunk server and forwarder problems and issues.
  • Lead the design and maintenance of production-quality dashboards and reports customization efforts.
  • Assist internal users of Splunk in designing and maintaining production-quality dashboards.
  • Provide Splunk training to internal customers as required.
  • Participate as an escalation point for 24×7 operations support for Splunk.
  • Monitor the Splunk infrastructure for performance and capacity planning and optimization.
  • Develop, implement and support Application performance monitoring solutions.
  • Support Splunk on Linux, Windows and virtualization platforms.
  • Document implementation requirements and best practices for all developed applications/solutions.
  • Design, support and maintain the Splunk infrastructure in a highly available configuration.
  • Responsible for systems performance & capacity planning for all CareConnect system and Enterprise specific infrastructure components.
  • Provide hands on direction as well as thought leadership to infra teams.
  • Lead resolution of performance and scalability problems.
  • Candidate must be able to clearly illustrate and explain standards of excellence for developing best practices in areas of Capacity & Performance.
  • Provides input and guidance to the build teams, Infrastructure Operations, and the platform technical and Application Architects.
  • Define and implement Capacity and Performance Management methodology, processes and procedures including: develop baseline model, lead capture and validation of business volumetric, implement process for ongoing business volumetric capture.
  • Implement feedback loop for calibration of baseline model with actual measurement captured through performance testing.
  • Participate in infrastructure and applications design reviews.
  • Coordinate internal systems performance testing and metrics with Epic performance testing team.
  • Conduct root cause analysis for performance and scalability problems.
  • Provide input into all major application solution decisions.
  • Coordinate with the Build and Architecture Teams to provide guidance in the configuration of the solution.
 
qualifications:
Skills:

  • Minimum of 7 years experience in Managing, configuring, and administering a multi-site distributed Splunk environment. Including Multi-site Clustering, Search Head Clustering, HTTP Event Collector, Both Universal and Heavy Forwarders, Deployer, Deployment Server
  • Splunk Architect Certification for Splunk Enterprise 6.x/7.x.
  • Minimum of 7 years experience in developing dashboard and alert solutions for custom data sources with Splunk.
  • Minimum of 3-5 years experience with deploying, managing, and optimizing Enterprise Security and IT Service Intelligence.
  • Advance level knowledge of Splunk's Artificial Intelligence and Machine Learning.
  • Knowledge and experience in Security Operation Centers.
  • Advanced level scripting knowledge and experience with regular expressions, bash, powershell, and python.
  • Ability to create clear, organized, and comprehensive documentation.
  • Experience in integration design supporting mission-critical, 24*7 business processes.
 
skills: Skills:

  • Minimum of 7 years experience in Managing, configuring, and administering a multi-site distributed Splunk environment. Including Multi-site Clustering, Search Head Clustering, HTTP Event Collector, Both Universal and Heavy Forwarders, Deployer, Deployment Server
  • Splunk Architect Certification for Splunk Enterprise 6.x/7.x.
  • Minimum of 7 years experience in developing dashboard and alert solutions for custom data sources with Splunk.
  • Minimum of 3-5 years experience with deploying, managing, and optimizing Enterprise Security and IT Service Intelligence.
  • Advance level knowledge of Splunk's Artificial Intelligence and Machine Learning.
  • Knowledge and experience in Security Operation Centers.
  • Advanced level scripting knowledge and experience with regular expressions, bash, powershell, and python.
  • Ability to create clear, organized, and comprehensive documentation.
  • Experience in integration design supporting mission-critical, 24*7 business processes.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.

We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

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