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Machine Learning Technologies, LLC seeks a Cyber Security Engineer to protect systems, networks, and data from cyber threats. You will monitor alerts, perform vulnerability testing, and implement security controls across environments.
You will work with SIEM platforms like Splunk, Microsoft Sentinel, and QRadar, manage IAM and MFA, and help ensure compliance with ISO 27001, NIST, PCI-DSS, and SOC 2 standards. Collaboration with infrastructure, cloud, and app teams is essential.
Cyber Security Engineer responsible for protecting organizational systems, networks, applications, and sensitive data from cyber threats. Experienced in identifying security vulnerabilities, monitoring security incidents, implementing security controls, and ensuring compliance with industry security standards.
Monitor security alerts, investigate incidents, and respond to potential cyber threats.
Perform vulnerability assessments and penetration testing to identify security weaknesses.
Implement and manage security solutions such as firewalls, antivirus, IDS/IPS, and endpoint protection.
Monitor security events using SIEM tools such as Splunk, Microsoft Sentinel, or QRadar.
Analyze security logs and identify suspicious activities, unauthorized access, and potential attacks.
Implement identity and access management (IAM), including user provisioning, access reviews, and MFA.
Perform risk assessments and recommend security improvements.
Support incident response, threat detection, and remediation activities.
Ensure compliance with security standards such as ISO 27001, NIST, PCI-DSS, and SOC 2.
Conduct security audits and maintain security documentation and reports.
Work with infrastructure, cloud, and application teams to implement security best practices.
Assist in patch management and security configuration management.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.