Senior Splunk Engineer at Qualys

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

Required Skills & Experience

• 5–7 years of hands-on experience with Splunk Enterprise/Cloud.
• Deep understanding of Splunk CIM Data Models, field extractions, lookups, and data model acceleration.
• Strong knowledge of SPL (Search Processing Language) and data normalization best practices.
• Expertise in Python scripting for automation, data processing, and Splunk REST API usage.
• Experience with Splunk apps/add-ons (TA development) and technology integrations.
• Familiarity with log management, SIEM practices, and security monitoring.
• Strong troubleshooting and performance tuning skills in distributed environments.

Nice to Have

• Splunk certifications (Certified Developer, Power User, Architect).
• Experience with Security Use Cases (SIEM, UEBA, Threat Detection).
• Knowledge of Docker, Kubernetes, or containerized Splunk deployments.