Splunk Engineer

Candidate should be able to:
Engage with internal client teams to align platform capabilities with business requirements
Create or update AWS CloudFormation Templates to manage Splunk infrastructure
Provide Splunk technical expertise and consultancy to internal client teams looking to leverage Splunk
Mentor and train junior Splunk resources
Design and implement High Availability / Disaster Recovery architecture
Manage Splunk knowledge objects (Apps, Dashboards, Saved Searches, Scheduled Searches, Alerts)
De-code and Debug complex Splunk queries
Design and implement Splunk infrastructure, deployment, products, apps, reports, alerts, and dashboards
Candidate should have:
Ability to perform complete Splunk environment installs, filter data, and manage indexes
Ability to troubleshoot core software platform and infrastructure components
Working knowledge or recent experience with scripting languages and application
Experience creating, and maintaining Splunk applications
Experience writing documentation, procedures, and best practices in technical environments
Experience working with industry-standard authentication and permissions models
Experience working with REST APIs, and web development
Experience with Terraform in an AWS environment
Experience creating and updating AWS CloudFormation Templates
Experience designing and implementing a High Availability / Disaster Recovery infrastructure in an AWS environment
Advanced knowledge and experience with Splunk architecture
5 - 8 years of current experience in big data analytics, data warehousing, and/or business intelligence domains