Splunk Development Engineer - (Public Sector)

At Xtremax, our Splunk Development Engineers build and enhance the systems that power our observability and analytics capabilities. You’ll develop use cases, automate data pipelines, and create solutions that deliver real-time insights across our platforms. We value curiosity, technical excellence, and a drive to turn data into action. Candidates with public sector experience are preferred, as this role supports IT projects for government agencies.

Responsibility:

• Identify and develop new Splunk use cases through log source product research and working with stakeholders
• Update and optimize existing Splunk use cases due to change in ingestion approach and to improve performance of Splunk searches
• Perform ingestion and normalization of new data into Splunk through the use of Splunk apps
• Develop custom Splunk apps, scripts and automation to support the operations of Splunk including data ingestion, transformation and validation
• Create and update documents specifically designed to facilitate effective knowledge transfer processes. These documents will serve as essential resources for training and operational continuity.
• To provide support to Splunk ops engineers in Splunk troubleshooting activities. This involves technical assessment and problem resolution
• Personnel are required to maintain regular office attendance during designated working hours. Should incidents arise outside of working hours, personnel must be available to provide appropriate response and support.

Requirements

• Min 2 years of experience in Splunk development
• Understanding of SDLC and CICD
• Strong understanding of Splunk architecture, features and capabilities
• Strong proficiency in Splunk’s Search Processing Language (SPL)
• General understanding of IT infrastructure, including Operating Systems, Databases and Network/Security devices
• Proficiency in Python
• Experience with Git and modern branching workflow (Gitlab)
• Experience with public cloud platform (AWS, Azure)
• Experience with implementing serverless compute (AWS Lambda, Azure Function)

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