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Supports secure software development by executing security solutions, writing secure code, analyzing incident and vulnerability data, validating AI-assisted recommendations, and contributing to security testing, resiliency, continuity training, and control validation. The role requires knowledge of software development lifecycles, network and information security, IT risk, cloud technologies, and architectural concepts.

Lead Cloud Security Engineer responsible for designing and implementing secure cloud infrastructure, controls, threat models, and risk assessments. The role reviews infrastructure-as-code, develops security controls, analyzes vulnerabilities, integrates with security operations and access management, and writes or reviews production code. It requires expertise in public cloud platforms, Kubernetes, cloud security posture management, infrastructure-as-code, enterprise security architecture, and validated use of AI-assisted security workflows.

Manages fund accounting and servicing operations, ensuring accurate accounting and securities records, control adherence, issue resolution, and client service delivery. Leads process automation and continuous improvement initiatives, oversees projects and strategic plans, reports KPIs to senior management, manages stakeholder relationships, and coaches team members. The role requires substantial fund accounting expertise, team leadership, operational efficiency experience, and strong strategic and stakeholder management capabilities.

Designs and implements enterprise application security solutions, writes secure production code, performs code reviews, monitors vulnerabilities and regulatory guidance, and advises stakeholders on security risks. Builds scalable AWS cloud solutions using infrastructure as code, maintains audit-defensible controls, and applies AI-assisted development tools safely. The role also supports secure SDLC, CI/CD, application resiliency, and collaboration with senior business leaders across complex technology environments.

Software engineering interns design, develop, test, troubleshoot, and document secure software solutions. They collaborate with engineers, managers, and stakeholders, apply automation across the software development lifecycle, and use approved AI development tools with peer review, testing, and secure validation. The program includes training, mentorship, networking, and potential full-time opportunities after graduation.

Designs and implements enterprise cybersecurity architecture and controls for cloud-based applications. Assesses emerging technologies, identifies risks, recommends mitigations, validates AI-assisted security outputs, and guides business teams, vendors, and senior stakeholders. The role advances security frameworks, SDLC practices, control testing, remediation quality, and operational resiliency while serving as a cybersecurity subject matter expert and mentoring junior professionals.

Develop, test, deploy, and maintain cloud security software and tooling for AWS public cloud environments. Build governance, protection, auditing, monitoring, remediation, and reporting solutions; automate security controls; scale services; conduct design and code reviews; and manage project deliverables. Collaborate across business functions, apply infrastructure as code and CI/CD practices, and responsibly validate enterprise-authorized AI-assisted security analysis and code recommendations.

Lead secure software engineering efforts by designing enterprise security solutions, developing and reviewing production code, conducting threat modeling and vulnerability and penetration testing, and improving security controls. The role uses authorized AI to accelerate security analysis and documentation while validating outputs, protecting sensitive data, and maintaining auditability. It also partners with stakeholders to address vulnerabilities and strengthen resiliency throughout the SDLC.

Lead the architecture and delivery of scalable, secure cloud-native platforms across public clouds. Define reference architectures, engineering standards, governance controls, observability practices, and reusable developer-platform capabilities. Drive responsible adoption of generative and agentic AI in engineering workflows, including validation, auditability, security, and data protection guardrails. Partner with architecture, engineering, product, security, risk, and business teams while mentoring technical talent and setting enterprise architecture direction.

Lead technology and cyber risk compliance for global banking technology. Advise on regulations (DORA, EU AI Act, NIS2), perform impact/gap assessments, review incidents, guide cloud and AI adoption, apply data analytics, and partner with stakeholders to embed controls and ensure operational resilience.