We are seeking a committed and experienced security engineer to join our Security Risk Management (SRM) team to help design and build solutions to: * Drive better understanding of security risk and enable investment decisions through automation, monitoring, and tracking of Meta's security tools, systems, and controls * Enable security and software engineers to seamlessly respond to requests to prove effective design and operation of security capabilities * Increase maturity of security capabilities through control improvements and redesign
Responsibilities
Work with a team of software, data, and security engineers that design, build, and own software solutions that scale high fidelity security risk contextualization, tracking, and reporting
• Understand and influence evolution of security capabilities across various domains to scale and automate: a) monitoring the effectiveness, and b) increasing the maturity of those capabilities
• Design and build solutions to scale managing and responding to risk management & compliance related requests
Minimum Qualifications
• Bachelor's degree in Computer Science, Information Security, or relevant field (or equivalent experience)
• 5+ years work experience securing enterprise-scale infrastructure software and services
• 3-5+ years programming experience with at least one of the following languages: Python, PHP, Ruby, or similar scripting languages
• Experience remediating infrastructure security gaps across broad corporate boundaries using influence and relationships
• Experience with security control automation/monitoring or "compliance as code" implementations
• Experience thinking critically and defending solutions with communication skills in a cross-functional setting to influence decision makers across all levels of technical background
Preferred Qualifications
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Networking and system administration experience of server (Linux, Windows) and client (Windows, macOS, Linux) operating systems
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience with common risk & compliance program activities (e.g., controls, risk, policy management)
• Experience generating automated metrics to measure service and program effectiveness and consistency
• Experience influencing software engineers to build products meant to scale security solutions
