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Next-Gen SIEM Architect

Remote:

Full Remote

Work from:

Indiana (USA)

Offer summary

Qualifications:

Extensive experience in developing and integrating SIEM systems, Strong background in threat intelligence, detection engineering, and cybersecurity analytics, Proficiency in Python programming and cloud platforms (especially AWS), Proven track record in collaborating with security teams and incident response, Familiarity with machine learning and AI in cybersecurity.

Key responsabilities:

Lead integration of AI security agents with existing SIEM systems
Collaborate with security operations teams to gather requirements
Design scalable data processes to optimize AI agent functionality
Develop data feeds compatible with frameworks like MITRE ATT&CK
Build and organize security information platforms for AI security agents

Simbian Computer Hardware & Networking Startup https://simbian.ai/

11 - 50 Employees

See more Simbian offers

Job description

Lead the integration of AI security agents with existing SIEM systems and data platforms, ensuring seamless connectivity and data transformation.
Collaborate with security operations teams to gather requirements and ensure AI agents can effectively utilize security data.
Design and implement scalable and high-performance data transformation processes to optimize AI agent functionality.
Develop and maintain data feeds compatible with frameworks like MITRE ATT&CK to enhance threat intelligence.
Build and organize security information platforms to support the deployment and operation of AI security agents.

Requirements

Extensive experience in developing and integrating SIEM systems, with hands-on knowledge of OCSF, Sigma, STIX/TAXII, and logset.
Strong background in threat intelligence, detection engineering, and cybersecurity analytics.
Proficiency in programming with Python and experience with cloud platforms, particularly AWS.
Proven track record of working closely with security operations centers, threat intelligence teams, and incident response processes.
Familiarity with machine learning and AI techniques as applied to cybersecurity.