Sr. Engineer - Data Security - Cary, United States

When you join MetLife’s Global Technology team, you’ll be part of a forward-thinking group dedicated to shaping the future of digital solutions for customers worldwide. You’ll develop, maintain and support technology applications and delivery, leveraging AI, automation, and contemporary ways of working to enhance experiences and drive business outcomes. Your work will simplify complex processes, improve tech resiliency, and ensure high-performing, seamless solutions that power life’s most important moments. In this dynamic environment, you’ll collaborate with talented peers across teams and functions, expanding your skills in impactful ways. Ready to push boundaries and set new industry standards? Join us and help drive the future of technology forward.

The Senior Engineer - Infrastructure Operations, Data Security is responsible for engineering, automating, and supporting secure, resilient infrastructure services that enable enterprise data protection. In this role, you will work with security, infrastructure, network, cloud, database, and application teams to modernize operations, improve service reliability, and reduce risk across a complex technology environment. You will have the opportunity to build automation, support cloud and on-premises platforms, strengthen critical data security capabilities, and help implement emerging AI-enabling technologies in a secure and responsible manner. Guided by our purpose - always with you, building a more confident future - and our New Frontier strategy, this role offers meaningful work at the intersection of infrastructure engineering, cybersecurity, automation, and innovation.

• Engineer and support secure, reliable infrastructure services across Linux and Windows platforms, networking, databases, and cloud environments such as Microsoft Azure and IBM Cloud, applying working knowledge of data security and cybersecurity principles.
• Develop and maintain automation using Python, PowerShell, Ansible, YAML, APIs, and command-line interfaces to standardize deployments, configuration, monitoring, evidence collection, and operational support activities.
• Implement and operationalize AI-enabling technologies, including Model Context Protocol (MCP) servers, local AI models, and AI-assisted automation, with appropriate security, access, logging, testing, and human-oversight controls.
• Oversee the operational health, integration, lifecycle, and continuous improvement of data security platforms supporting data security posture management, database activity monitoring, and data loss prevention, including environments that use Varonis, Prisma Cloud, Cyera, IBM Security Guardium, and Forcepoint.
• Coordinate incident response, problem management, vulnerability remediation, change implementation, documentation, and engineering handoffs while maintaining source control and artifact-management practices using GitHub and Artifactory.

• Bachelor's degree in computer science, engineering, cybersecurity, information systems, or a related field, or equivalent practical experience, with substantial experience engineering and supporting enterprise infrastructure or security services.
• Working knowledge of data security and cybersecurity, with foundational knowledge of networking, Linux and Windows operating systems, cloud computing, and relational or distributed database technologies.
• Hands-on programming and automation skills using Python or PowerShell and experience with APIs, command-line tools, infrastructure automation, source control, and structured configuration such as Ansible, YAML, and GitHub.
• Artificial intelligence proficiency sufficient to evaluate, implement, secure, and support AI-enabling technologies and AI-assisted automation, including MCP servers or locally hosted models, while applying responsible AI and cybersecurity controls.
• Strong troubleshooting, analytical, documentation, and collaboration skills, with the ability to manage operational priorities and communicate technical risks and recommendations clearly to technical and nontechnical stakeholders.

• Experience supporting data security posture management, database security monitoring, or data loss prevention capabilities, including exposure to Varonis, Prisma Cloud, Cyera, IBM Security Guardium, or Forcepoint.
• Experience with Microsoft Azure or IBM Cloud, Artifactory, GitHub-based delivery workflows, CI/CD practices, observability, configuration management, and highly available enterprise services.
• Relevant industry certifications or demonstrated advanced knowledge in cloud, networking, Linux/Windows administration, cybersecurity, database technologies, automation, or AI engineering.

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The expected salary range for this position is $95,000 - $125,000. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms. 

Benefits We Offer About MetLife MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law (“protected characteristics”).