Top Tech Jobs & Startup Jobs

Leads the design, deployment, operation, and continuous improvement of secure enterprise AI platforms across Azure, AWS, and private clouds. Manages cloud services, Kubernetes, databases, LLM and AI/ML platforms, automation, infrastructure as code, CI/CD, monitoring, identity and access, incident response, resiliency, disaster recovery, governance, and compliance. Partners with engineering, security, data, risk, architecture, and business teams to deliver production-ready and responsible AI solutions.

Owns fraud risk management for Wealth Custody and Clearing, including risk assessments, governance, control design, monitoring, incident coordination, third-party oversight, issue remediation, and senior management reporting. Partners across Operations, Technology, Data, Cybersecurity, Compliance, Legal, Audit, and service providers to strengthen fraud prevention and detection capabilities. Also supports broader business risk activities, audits, regulatory examinations, and enterprise risk programs.

Lead enterprise quality engineering strategy and test automation for cloud-native and legacy platforms. Build scalable frameworks (Java, Selenium, Playwright, Cucumber), embed continuous testing in CI/CD, mentor QA teams, ensure resiliency, and support compliance and risk initiatives.

Provides end-to-end application support for SWIFT messaging, mainframe accounting, custody, and financial transaction systems. Responsibilities include monitoring, incident management, security control enforcement, hybrid mainframe-cloud integration, DevSecOps automation, observability, resilience improvements, root-cause analysis, and audit readiness. The role supports IBM Z and Tandem/NonStop environments alongside AWS and Azure platforms, collaborating with infrastructure, security, development, operations, and vendor teams during modernization and migration initiatives.

Leads enterprise AI strategy and transformational initiatives across business and technology functions. Identifies high-value AI opportunities, develops product-aligned roadmaps, supports self-service AI platform deployment, evaluates MVP feasibility, and oversees requirements, process redesign, governance, model lifecycle, quality control, and execution tracking. Partners with cross-functional stakeholders to communicate strategy, facilitate workshops, manage projects, and deliver AI and automation solutions across the organization.

Leads software quality assurance within Agile Scrum and Kanban teams. Analyzes business and technical specifications, defines and executes functional and regression tests, tracks defects, maintains testing documentation, and ensures appropriate testing controls. Reviews SQA team work, resolves complex issues, supports Scrum processes and SDLC documentation, and collaborates with business and development partners. Requires strong analytical, communication, organizational, and independent-working skills, with at least five years of SQA experience or equivalent analytical and custody operations experience.

Leads global engineering, architecture, delivery, and modernization for a securities valuation platform supporting pricing, valuation models, fund accounting, and NAV calculations. The role drives cloud adoption, resilient application architecture, DevOps, automation, data and AI capabilities, regulatory compliance, operational stability, and technology strategy. The Vice President also develops global talent, partners with business and risk stakeholders, and delivers scalable solutions across financial services.

Lead development, testing, debugging, and maintenance of transaction management software using Java, cloud technologies, microservices, and relational databases. Mentor globally distributed engineering teams, conduct code reviews, write automated tests, participate in Scrum ceremonies, and resolve production issues. The role requires independent project ownership, strong communication, and collaboration across teams while working onsite three days per week and remotely one day.

Develop, test, debug, and maintain transaction services software within an agile scrum team. Build cloud-based multi-tier applications using Java, SQL, Spring Boot, ReactJS, Kubernetes, Kafka, and Azure or AWS. Write automated tests, participate in code reviews, troubleshoot production issues, analyze business requirements, and collaborate with distributed teams to deliver financial-sector solutions.

Leads solution architecture and engineering strategy for financial-services applications, data platforms, and AI initiatives. Designs scalable enterprise applications, data architectures, integrations, pipelines, and AI solutions using modern technologies. Provides technical direction, architecture and code reviews, governance, production support, vendor assessments, and roadmap planning. Partners with senior business and technology stakeholders, mentors distributed engineering teams, and drives delivery across capital-markets functions including repo, collateral, custody, securities lending, and asset management.