Top Tech Jobs & Startup Jobs

The Cloud Engineer - Vice President leads development of complex systems and solutions, focusing on AI integration and innovative engineering practices to solve business problems.

Lead architecture and delivery of a global payments platform including APIs, microservices, integrations, and infrastructure. Set engineering standards, lead design reviews, mentor engineers, manage technical risk, ensure resilience and high availability, and coordinate cross-functional delivery and CI/CD automation.

Lead end-to-end production support for enterprise applications, ensuring 24/7 availability. Oversee incident, problem, and change management; drive AI/ML automation and observability; manage containerized and hybrid cloud platforms; mentor and grow support teams; coordinate cross-functional escalations; enforce compliance and resiliency practices; and optimize monitoring, CI/CD, and infrastructure to meet SLA and business objectives.

Lead definition of target-state business architecture for core finance domains (GL, accounting engines, close, reconciliation). Map current processes, design future-state blueprints and data flows, champion reconciliation/control frameworks, collaborate with senior stakeholders, translate business architecture into functional requirements, and lead/mentor a team of business architects during a large-scale ERP/SaaS finance transformation.

Lead and execute audits of AI/GenAI adoption, focusing on AI governance, regulatory and ethical risks. Oversee portfolio assessments, stakeholder engagement, issue remediation, and integrated audit innovations while advising business initiatives and developing audit strategies with senior leadership.

Lead global production support for enterprise applications, ensuring 24/7 availability, incident/problem/change management, observability, automation, AI/ML-driven support, team management, vendor and budget oversight, and compliance with audit and security requirements.

Lead development and delivery of AI/ML and advanced analytics for client intelligence and revenue management. Define AI strategy, build predictive models and generative/agentic solutions, establish MLOps and model governance, drive architecture and data engineering, partner with front-office stakeholders, and manage a team of engineers and data scientists to deliver measurable revenue and productivity outcomes.

Lead design and implementation of application systems, analyze complex business and system processes, develop coding/testing standards, integrate functions, consult with end users, allocate work and mentor developers, manage projects and stakeholder negotiations, and ensure regulatory and risk compliance.

Lead and advise on enterprise data governance activities: consult with stakeholders, design and implement governance processes and system changes, monitor governance metrics and alignment with policy, coach teammates, and produce recommendations for enterprise policies and standards.

Lead business architect for a multi-year finance transformation to Oracle SaaS. Define target-state business architecture, map and redesign end-to-end finance processes, design data flows and controls, champion reconciliation/substantiation, collaborate with senior stakeholders, and translate business architecture into functional requirements for Technology teams.