> Markdown version of [/jobs/ext/4033682-vice-president-enterprise-cloud-infrastructure-aws](https://www.wearedevelopers.com/jobs/ext/4033682-vice-president-enterprise-cloud-infrastructure-aws). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Vice President, Enterprise Cloud & Infrastructure (AWS) - **Company:** Page Michael International Inc - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $185,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing Security, Cloud Engineering, Disaster Recovery, Identity and Access Management, Machine Learning, Virtual Desktops, Enterprise Data Management, HybridCloud, Cloudformation, Infrastructure Automation Frameworks, Data Analytics, Terraform - **Published:** October 30, 2026 - **Apply:** https://www.michaelpage.com/job-detail/vice-president-enterprise-cloud-infrastructure-aws/ref/jn-082026-7083047 ## About the Role Bachelor's degree required. 8-10+ years of enterprise infrastructure, cloud engineering, or cloud architecture experience with significant leadership responsibility. Deep hands-on expertise designing and managing enterprise-scale AWS environments. Strong experience with AWS Landing Zones, multi-account architecture, networking, IAM, security, monitoring, resiliency, backup, and disaster recovery. Hands-on experience with Terraform and/or AWS CloudFormation. Proven track record leading cloud migration, modernization, or infrastructure transformation programs. Experience managing cloud engineering and infrastructure teams while remaining technically hands-on. Strong vendor management experience with MSPs, cloud providers, consulting firms, and systems integrators. Prior experience supporting critical production environments operating 24x7. Financial services or other highly regulated industry experience preferred. Excellent executive communication, stakeholder management, and technical leadership skills. ## Description We are seeking a Vice President of Infrastructure & Cloud Engineering to lead the strategy, architecture, and operations of a modern cloud-first infrastructure environment. This role will oversee AWS architecture, infrastructure transformation, vendor management, and the foundational platforms supporting AI, data analytics, and virtual desktop technologies. * Lead a cloud-first transformation with enterprise-wide AWS ownership * Hands-on leadership role with architecture authority and vendor oversight, Define and execute the enterprise cloud infrastructure strategy, roadmap, and operating model. Lead the architecture and design of AWS environments, including Landing Zones, multi-account structures, networking, IAM, security, resiliency, monitoring, backup, and disaster recovery. Drive cloud migration, modernization, and infrastructure transformation initiatives. Provide hands-on technical leadership for architecture reviews, critical incidents, engineering standards, and proof-of-concept activities. Oversee infrastructure operations supporting mission-critical systems in a 24x7 financial services environment. Establish governance across cloud security, Infrastructure as Code, change management, monitoring, incident response, and operational documentation. Act as the senior technical escalation point for significant infrastructure and cloud-related issues. Manage cloud financial operations including budgeting, forecasting, optimization, and chargeback/showback processes. Lead and mentor cloud, infrastructure, platform, and operations teams. Manage strategic relationships with cloud providers, MSPs, systems integrators, and technology partners. Own vendor governance, including SLAs, KPIs, service reviews, contracts, SOWs, risk management, and escalations. Provide strategic oversight for Azure Virtual Desktop and enterprise VDI environments. Partner with application, security, architecture, and data teams to establish infrastructure foundations supporting AI, analytics, machine learning, and enterprise data lake initiatives.