Top Tech Jobs & Startup Jobs in NYC, NY

Lead cloud security engineering to implement and scale cloud-native security controls across AWS/Azure/GCP. Drive CSPM/CNAPP posture management (Wiz, native policies), policy-as-code, IaC automation, container/Kubernetes and API security, and AI-driven security capabilities. Partner with engineering, DevSecOps, IAM, governance, and audit teams to translate controls into repeatable patterns, improve remediation workflows, and support regulatory and risk objectives.

Lead cloud security engineering to implement and scale cloud-native controls, integrate AI into security workflows, drive CSPM/CNAPP maturity (Wiz), enforce policy-as-code and IaC patterns, embed security into CI/CD and platform engineering, and partner with stakeholders on standards, remediation, and governance.

Lead DR and GP&T commercial data strategy and execution, drive governance, data product readiness, and AI-enabled initiatives. Partner with commercial, product, technology, and risk stakeholders to build reusable data capabilities, strengthen controls, improve data quality/lineage, and translate data investments into measurable commercial outcomes.

The Senior Vice President will lead agenda planning and administration for committee meetings, manage presenter logistics, and ensure effective communication and decision tracking.

The Director, Full-Stack Engineering Manager leads software development for a middle office platform, providing technical consulting, mentoring engineers, and driving AI modernization while ensuring client delivery stability.

Provide complex analytics, reporting, and automation for client processing systems; manage and resolve moderate-to-complex external client issues; participate in product development, testing, and enhancements; mentor and support junior staff; may perform supervisory review, training, and approval tasks. Leverage brokerage processing knowledge to ensure timely, accurate high-value transaction processing.

Lead architecture and delivery of frontier AI solutions: define end-to-end technical designs, establish reusable AI engineering patterns, guide platform integration and production readiness, advise cross-functional stakeholders, and ensure secure, scalable, observable AI products that are commercially viable.

The role involves supporting risk mitigation strategies, collaborating with teams on process improvements, advocating for digital solutions, and delivering training to foster a strong risk culture.

The role involves consulting, developing frontend and backend applications, ensuring coding standards, and collaborating on new technologies.

This role requires leading product design efforts, conducting user research, and ensuring user-centered design principles across the organization, while managing complex projects and stakeholder relationships.