Cyber Security Engineer II

Position Summary

The Cyber Security Engineer II is responsible for implementing, maintaining, and improving security technologies, controls, and processes that protect the organization's infrastructure, cloud environments, applications, and sensitive information.

This hands-on role supports security engineering, cloud security, vulnerability management, security automation, incident response, and emerging cybersecurity threats. The Cyber Security Engineer II independently manages moderately complex security initiatives, troubleshoots security technologies, and collaborates with IT, Product Security, Cloud Engineering, Infrastructure, and Development teams to strengthen the organization's overall security posture.

The role also supports the responsible adoption of artificial intelligence within cybersecurity operations by using approved AI technologies to improve efficiency, enhance threat detection, accelerate investigations, and automate repetitive security activities.

Why This Role Matters

As the organization expands its cloud, SaaS, automation, and AI-enabled capabilities, effective security engineering is essential to protecting business operations and sensitive information. This role helps ensure that security controls remain effective, scalable, and aligned with evolving technologies and threats.

Through technical expertise, cross-functional partnership, and continuous improvement, the Cyber Security Engineer II helps reduce security risk, strengthen system resilience, improve operational efficiency, and balance security requirements with business needs.

Key Responsibilities

• Implement, configure, maintain, and optimize enterprise security technologies across cloud, SaaS, and corporate environments.
• Support endpoint protection, EDR/XDR, SIEM, cloud security monitoring, vulnerability scanning, identity security, and data protection technologies.
• Troubleshoot security-tool configurations, integrations, performance issues, and operational failures.
• Implement and maintain security controls across public cloud, government cloud, and segmented cloud environments, as applicable.
• Partner with Cloud Engineering and Infrastructure teams to address security misconfigurations, excessive permissions, exposed services, and insecure configurations.
• Perform security assessments, configuration reviews, vulnerability analyses, and security testing.
• Use approved AI-enabled security tools and generative AI technologies to accelerate troubleshooting, analysis, configuration reviews, and technical investigations.
• Maintain appropriate human validation and oversight of AI-assisted security decisions.
• Develop and maintain scripts and automated workflows using Python, PowerShell, APIs, and security-orchestration platforms.
• Automate configuration validation, evidence collection, alert enrichment, reporting, and security-control verification.
• Provide technical security-engineering assistance during incidents escalated by Security Operations.
• Participate in post-incident reviews and implement corrective actions addressing security-control gaps.
• Participate in the incident on-call rotation.
• Support security and compliance initiatives involving NIST, CIS, SOC 2, PCI DSS, and FedRAMP, as applicable.
• Gather technical evidence for internal audits, external assessments, and compliance activities.
• Work closely with Security Operations, Product Security, Cloud Engineering, IT, Infrastructure, and Development teams.
• Serve as a technical point of contact for assigned security platforms, technologies, or engineering initiatives.

Qualifications

Required

• Bachelor's degree in Computer Science, Information Security, Cybersecurity, Information Systems, or a related technical discipline, or equivalent practical experience.
• Four or more years of professional experience in cybersecurity, security engineering, security operations, or a related technical security discipline.
• Demonstrated experience working with enterprise security technologies and investigating technical security issues.
• Experience collaborating with infrastructure, IT, security, or engineering teams.

Preferred

• Experience working in a SaaS, cloud-native, or enterprise technology organization.
• Experience with public-cloud security technologies, container security, or automated infrastructure security controls.
• Experience developing security automation or integrating security technologies through APIs.
• Exposure to AI-assisted security tools or security assessments involving AI-enabled technologies.
• Familiarity with NIST, CIS, SOC 2, PCI DSS, or FedRAMP.
• Relevant certifications such as CompTIA Security+, CEH, GIAC GSEC, AWS Certified Security – Specialty, or equivalent credentials.

Required Skills & Competencies

• Intermediate knowledge of cybersecurity concepts, security architecture, defense-in-depth principles, and common security controls.
• Hands-on experience implementing, administering, or troubleshooting enterprise security technologies.
• Working knowledge of EDR/XDR, SIEM, vulnerability management, identity and access management, or cloud-security platforms.
• Familiarity with cloud infrastructure and security concepts in AWS, Microsoft Azure, or Google Cloud.
• Understanding of networking fundamentals, operating-system security, authentication, authorization, and encryption.
• Basic-to-intermediate scripting experience using Python, PowerShell, Bash, or similar technologies.
• Experience working with APIs, system integrations, or security-automation tools.
• Familiarity with generative AI, large language models, AI-assisted analysis, and their practical use in cybersecurity.
• Awareness of AI security risks, including prompt injection, model misuse, data leakage, insecure integrations, and unauthorized access.
• Effective written and verbal communication skills, including the ability to present technical information to technical and nontechnical stakeholders.

Personal Attributes

• Strong analytical thinking and technical problem-solving abilities.
• Sound judgment when balancing security requirements with business and operational needs.
• Ability to work independently and take ownership of assigned engineering activities.
• Strong attention to detail and the ability to manage multiple priorities.
• Collaborative approach and willingness to work across organizational functions.
• Commitment to continuous learning and professional development.
• Commitment to responsible AI use, human oversight, and protection of sensitive information.

This position is a Full-Time In-Office Role. Local candidates only. Position is not eligible for Visa Sponsorship.

Agilysys is an equal opportunity employer. In compliance with Federal and State EEO laws, qualified applicants are considered for all positions without regard to race, color, gender, religion, national origin, ancestry, place of birth, age, marital status, sexual orientation, disability, or veteran status.