Senior Security Engineer – Cloud, AI & Incident Response

SentriLock; Northern (KY); Hybrid; USD 110,000 - 170,000; Full time

Job summary

SentriLock is seeking a Security Engineer to protect information systems across on‑premises, cloud, and AI-enabled environments. The role involves proactive monitoring, risk reduction, incident response, and vulnerability management within an infrastructure-focused team.

The ideal candidate has 5+ years in information security, strong judgment, and leadership potential. You will work with cross-functional teams to implement practical security controls, develop runbooks, and guide AI governance

Qualifications

• Bachelor’s degree in IT, cybersecurity, CS, or related field or equivalent experience.
• 5+ years of progressive information security and related tech experience.
• Hands-on experience with security monitoring, incident response, and remediation coordination.
• Knowledge of enterprise security across network, server, endpoint, identity, cloud, email, and data.
• Experience with SIEM/SOAR, EDR/XDR, vulnerability management, firewalls, and cloud security.
• Familiarity with AI security and governance concepts; security certifications preferred.
• Strong leadership potential and ability to mentor peers and coordinate cross-functional work.

Responsibilities

• Monitor, investigate, triage, and respond to security alerts, logs, events, and suspicious activity across network, server, cloud, endpoint, identity, email, AI-enabled, and business application platforms.
• Lead or coordinate incident response activities, including containment, remediation, root cause analysis, post-incident documentation, corrective actions, and stakeholder communication.
• Manage vulnerability and exposure management processes by identifying risks, prioritizing remediation, tracking corrective action, and partnering with infrastructure, engineering, applications, and business teams.
• Administer, tune, and improve security operations tools and controls such as SIEM/SOAR, EDR/XDR, vulnerability scanners, email security, firewall platforms, cloud security controls, identity security tools, and AI-related monitoring or governance controls.
• Perform access reviews, privileged access audits, identity configuration reviews, MFA validation, least-privilege assessments, and security control testing across company systems, data platforms, and approved AI-enabled tools.
• Support secure adoption of AI-enabled technologies by assisting with acceptable-use standards, data protection controls, risk assessments, access governance, monitoring practices, and security guidance for enterprise AI platforms and use cases.
• Monitor and respond to data mishandling, externally shared data, data exfiltration risks, and security events related to information protection, data governance, AI usage, and compliance requirements.
• Develop and maintain security standards, baselines, runbooks, incident response playbooks, security documentation, reporting processes, and operational procedures.
• Support security and compliance initiatives including data governance, ISO-aligned practices, audit readiness, vendor security reviews, policy enforcement, evidence collection, and AI governance readiness.
• Demonstrate leadership by mentoring technical peers, leading security improvement initiatives, improving team operating practices, and building the communication, judgment, and accountability expected across the Infrastructure & Engineering organization.
• Performs other related duties as assigned to support the organization’s goals and objectives.

Skills

Security monitoring

Incident response

Vulnerability management

Log analysis

Access governance

AI security

Communication

Leadership potential

Education

Bachelor’s degree in IT / cybersecurity / CS or related field

Tools

SIEM/SOAR

EDR/XDR

Vulnerability scanners

Firewall platforms

Cloud security tools

Microsoft security

Purview

Data governance tools

Job description

SentriLock is seeking a Security Engineer to protect information systems across on‑premises, cloud, and AI-enabled environments. The role involves proactive monitoring, risk reduction, incident response, and vulnerability management within an infrastructure-focused team.

The ideal candidate has 5+ years in information security, strong judgment, and leadership potential. You will work with cross-functional teams to implement practical security controls, develop runbooks, and guide AI governance