Back
Strong employer brand and metro location but niche Splunk/Cribl specialization limits applicant density.
Security-platform specialization (Splunk/Cribl, SIEM) reduces cross-industry transferability.
Mandatory 6-9 years and specific Splunk, Cribl, cloud, and automation skills increase strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own administration and optimization of Splunk Cloud and Cribl Cloud environments to ensure scalable and reliable security data pipelines.
Design and implement data onboarding, parsing, normalization, and transformation processes to support cybersecurity detection, reporting, and compliance needs.
Develop automation and tooling using Python/JavaScript to improve platform operations, and monitor platform health, performance, and cost metrics for continuous optimization.
6-9 years experience in cybersecurity engineering, data engineering, or platform administration with strong hands-on security data platform expertise.
Bachelor’s degree or equivalent in Cybersecurity, Computer Science, Information Systems, Engineering, or related field.
Strong experience administering Splunk Cloud and working with Cribl Stream/Cloud for data ingestion and transformation.
Proficiency in Python and/or JavaScript; experience with AWS cloud environments.
Experience serving as subject matter expert for security data platforms in enterprise environments supporting detection, response, audit, and compliance.
Demonstrated ability to build and maintain complex distributed security data pipelines with data enrichment and normalization using Common Information Model mapping.
Hands-on skills implementing AI-powered workflow automation and aware of ethical AI practices in cybersecurity context.