Senior Security Engineer - End-User, Infrastructure & AI Security

About the Role We are looking for a hands-on Senior Security Engineer responsible for strengthening the security of our end-user environment and infrastructure across on-premises, data center, and cloud environments. This role will focus primarily on endpoint security, infrastructure and network security, vulnerability management, incident response, Zero Trust, and security automation. The ideal candidate should also have practical experience applying AI technologies to improve security operations, threat detection, investigation, and automation. What You'll Do: • Own and continuously improve the security of end-user devices and enterprise infrastructure. • Deploy, manage, and optimize endpoint security and EDR solutions such as CrowdStrike or equivalent. • Manage endpoint protection, device hardening, security configurations, and endpoint vulnerability remediation. • Manage and improve Data Loss Prevention (DLP), secure web/cloud proxy, and other end-user security controls. • Implement and continuously improve Zero Trust security principles across users, endpoints, applications, and infrastructure. • Work with Identity and Access Management (IAM) and Privileged Access Management (PAM) solutions to secure user and administrative access. • Manage and improve network security controls, including firewalls, IDS/IPS, WAF, network segmentation, and secure remote access. • Understand network architecture, protocols, and traffic flows and identify opportunities to strengthen network security. • Secure Linux-based infrastructure and work with infrastructure teams on system hardening, secure configurations, and access controls. • Identify security vulnerabilities, misconfigurations, and infrastructure security gaps and drive remediation with the appropriate engineering teams. • Own and support vulnerability management across endpoints, servers, network devices, and infrastructure. • Participate in vulnerability assessments, penetration testing, security scans, and remediation activities. • Monitor and investigate security alerts using SIEM, EDR, network security, and other security platforms. • Participate in security incident response, including investigation, containment, remediation, recovery, and root-cause analysis. • Work closely with Infrastructure, Network, IT, SRE, Cloud, and Engineering teams to ensure security is incorporated into architecture and design. • Perform security reviews of infrastructure changes, new technologies, and architecture designs. • Support security across on-premises, data center, private-cloud, and public-cloud environments. • Evaluate new security technologies and work with vendors on technical evaluations and proof-of-concept deployments. • Develop and maintain security standards, technical procedures, hardening guidelines, and operational documentation. • Mentor junior security engineers and help improve the team's overall technical capabilities. • Stay current with emerging cybersecurity threats, technologies, and attack techniques. AI & Security Automation Responsibilities • Apply AI technologies and AI-assisted security tools to improve day-to-day security operations. • Use AI/ML capabilities for anomaly detection, threat detection, vulnerability prioritization, incident investigation, and security monitoring. • Leverage AI to improve security alert analysis, correlation, prioritization, and remediation. • Identify opportunities to use AI to reduce repetitive manual security activities and improve operational efficiency. • Use AI-assisted approaches to accelerate incident investigation, root-cause analysis, and remediation. • Understand security risks introduced by AI and LLM-based applications and recommend appropriate security controls. • Understand common AI/LLM security risks, including prompt injection, sensitive-data leakage, unauthorized access, excessive permissions, and misuse of AI systems. • Integrate AI capabilities with security platforms, APIs, SIEM/SOAR, monitoring systems, or internal security workflows where appropriate. • Develop security automation using Python, Bash, APIs, SOAR, or similar technologies. • Participate in security assessments of new AI/LLM technologies being introduced into the organization. • Evaluate AI-enabled cybersecurity products and conduct POCs to determine their effectiveness and operational value. We'd Love for You to Have Must have: • 8+ years of hands-on experience in cybersecurity, infrastructure security, network security, or related areas. • Strong hands-on experience with endpoint security and EDR solutions such as CrowdStrike or equivalent. • Strong understanding of endpoint hardening and end-user security. • Experience with DLP and secure web/cloud proxy technologies. • Good understanding and practical experience implementing Zero Trust security principles. • Experience with Identity and Access Management (IAM) and Privileged Access Management (PAM). • Strong understanding of network security, firewalls, IDS/IPS, WAF, network segmentation, and networking concepts. • Strong understanding of network protocols, architecture, and traffic flows. • Experience securing Linux-based systems and infrastructure. • Strong experience with vulnerability management and remediation. • Experience with security incident investigation and incident response. • Working knowledge of SIEM and security monitoring platforms. • Experience securing on-premises and data center infrastructure. • Working knowledge of at least one major public-cloud platform, preferably AWS. • Ability to review infrastructure and network architecture from a security perspective. • Practical experience using AI or AI-assisted technologies within cybersecurity or security operations. • Understanding of AI/LLM security risks and how AI technologies can affect enterprise security. • Experience applying AI to areas such as anomaly detection, security monitoring, incident investigation, vulnerability man