Lead Cloud Security Controls Engineer - VP

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Cyber Security Engineering position at VP which is part of the job family responsible for providing specialist cyber expertise and creating solutions that protect the organization's systems and networks against actual and potential security threats and vulnerabilities. Morgan Stanley Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Cyber, Data, Risk & Resilience: Cyber, Data, Risk & Resilience delivers first-line defenses to manage technology, information, and cyber risk through risk identification, control management, and assurance. The organization helps the business operate and grow securely, comply with applicable obligations, and respond to an evolving threat landscape. Role Profile: The Cloud Security Engineering team enables secure adoption of cloud-native technologies at enterprise scale. We design, implement, test, and operate security controls that protect cloud platforms and make secure deployment easier for application and infrastructure teams. We are seeking a Lead GCP Platform Cloud Security Controls Engineer, VP, to lead the hands-on implementation of cloud-native security checks for the GCP platform. The successful candidate will convert security requirements into preventive, detective, and corrective controls across organization-level guardrails, infrastructure-as-code and CI/CD workflows, and runtime/CSPM monitoring. This role requires deep technical control implementation experience, strong policy-writing skills, and the ability to connect deploy-time prevention with runtime assurance and remediation. What you'll do in the role: Lead the design, coding, testing, deployment, and operation of GCP-native security controls across enterprise GCP organizations, folders, projects, and workloads. Translate configuration baseline, architecture, risk, and regulatory requirements into automated, testable, and enforceable cloud security policies. Author and maintain GCP organization policies, IAM-related guardrails, network and data-perimeter controls, and other native GCP policy mechanisms. Apply transferable policy-engineering patterns from AWS Service Control Policies, Azure Policy, or equivalent cloud-native governance frameworks. Implement preventive controls in Terraform and CI/CD workflows to identify or block noncompliant infrastructure before deployment. Implement detective and runtime controls using GCP-native security services, CSPM capabilities, logging, telemetry, event-driven automation, and drift detection. Design corrective workflows and remediation automation for control violations, including clear ownership, prioritization, exception handling, and evidence capture. Own the end-to-end control lifecycle: requirement interpretation, technical design, policy authoring, peer review, unit and integration testing, controlled rollout, monitoring, tuning, documentation, and retirement. Determine the most effective enforcement point for each requirement and identify compensating controls when preventive enforcement is not technically feasible. Build reusable policy libraries, common test patterns, modules, and implementation standards that improve consistency and delivery speed. Partner with GCP platform engineering, application teams, security architecture, risk, incident response, and control-assurance stakeholders. Troubleshoot complex control failures, false positives, pipeline issues, policy conflicts, and production security events; drive root-cause resolution. Define implementation metrics and technical evidence that demonstrate control coverage, effectiveness, exceptions, and remediation status. Provide technical direction, code and design review, and hands-on mentorship to engineers while maintaining direct involvement in critical implementations. What you'll bring to the role: Bachelors degree in computer science, Information Security, or a related field, or equivalent experience.  7+ years of hands-on cloud security, platform security, security engineering, or cloud control engineering experience. Demonstrated production experience implementing security controls in GCP, including direct policy authoring, testing, deployment, and operational support. Hands-on experience with GCP organization policies and one or more relevant native security capabilities such as IAM, VPC Service Controls, Security Command Center, Cloud Logging, event-driven services, or organization-level governance. Experience authoring cloud-native preventive policies, with GCP experience preferred; comparable experience with AWS Service Control Policies, Azure Policy, or similar guardrail frameworks is relevant. Strong Terraform and infrastructure-as-code experience, including module usage, plan evaluation, policy validation, testing, and secure deployment patterns. Practical experience integrating security checks and enforcement gates into CI/CD pipelines using Git-based engineering workflows. Experience implementing runtime or CSPM controls, including posture evaluation, cloud configuration monitoring, drift detection, alert tuning, and remediation workflows. Ability to translate written security requirements into clear technical control logic, test cases, acceptance criteria, and implementation evidence. Proficiency in at least one scripting or programming language such as Python, Go, Bash, or PowerShell. Strong understanding of GCP security architecture, including identity and access management, networking, service perimeters, encryption and key management, logging, workload security, and data protection. Experience with software engineering practices for policy and automation code,