Enterprise Security Engineer II

Box is the leader in Intelligent Content Management, helping organizations manage content, secure information, transform workflows, and leverage enterprise AI. The Enterprise Security Engineer II will deploy and maintain enterprise security systems, secure corporate and cloud environments, build monitoring and detection capabilities, automate security operations, and support incident response and vulnerability management.

Responsibilities:

• Deploy, and maintain security systems and services that support Box's enterprise security strategy
• Secure corporate infrastructure, endpoints, enterprise identity, AI and SaaS applications, and cloud environments through scalable engineering solutions
• Partner with IT, Infrastructure, and Engineering teams to identify security gaps, define requirements, and implement security controls
• Build and maintain security monitoring, detection, metrics, and dashboards to improve visibility into enterprise risk
• Automate security operations, policy enforcement, and operational workflows using APIs, scripting, and infrastructure-as-code where appropriate
• Support incident response, vulnerability management, and security investigations by improving telemetry, logging, and response capabilities

Requirements:

• Bachelor's or Master's degree in Computer Science, Information Security, or a related field, or equivalent practical experience
• 3+ years of experience in enterprise, cloud, or security engineering
• Strong understanding of enterprise security principles, including identity and access management (IAM), endpoint security, Zero Trust, remote access, network security, and secure enterprise architecture
• Hands-on experience with several of the following technologies: Identity providers (Okta, Microsoft Entra ID, Google Workspace), Firewalls/WAFs, VPNs, EDR, DLP, email security, vulnerability management, endpoint management, and system hardening, SIEM and security analytics platforms (Splunk, Elastic, Microsoft Sentinel, Chronicle, etc.), Experience securing cloud-native and hybrid environments across AWS, GCP, and/or Azure, Experience developing automation using scripting languages such as Python, PowerShell, or Go, and integrating with enterprise APIs
• Strong analytical, problem-solving, communication and collaboration skills
• Familiarity with AI tools and services