Azure Cloud Strategy Leader - Platform & Automation

Jobtailor; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor is seeking a senior Azure-focused leader in New York to set the enterprise Azure strategy, drive cloud adoption, and mentor a team of Senior Cloud Engineers. You will partner with business units to plan migrations, design landing zones, and establish governance and cost controls.

In this role you will champion automation, IaC patterns, and CI/CD pipelines, while promoting cloud-native architectures and AI-enabled modernization.

Qualifications

• 5+ years leading enterprise Azure, cloud engineering, platform engineering, or cloud-adoption programs.
• 5+ years Azure architecture across compute, storage, networking, containers, platform services, monitoring, and resiliency.
• 5+ years experience designing Azure landing zones and implementing cloud governance using Azure Policy, management groups, role-based access control, tagging, and cost-management controls.
• Experience with infrastructure as code and automation using technologies such as Terraform, PowerShell, Azure DevOps, or GitHub.
• Experience leading cloud migrations, application modernization, and workload-placement decisions.
• Experience with Azure security, cloud risk management, regulatory controls, and audit requirements.
• Strong understanding of cloud financial management, forecasting, licensing, and cost optimization.
• Experience using Jira to manage technical delivery and ServiceNow to support enterprise service-management processes.
• Strong executive communication, leadership, planning, and stakeholder-management skills.

Responsibilities

• Lead the enterprise Microsoft Azure strategy, roadmap, and cloud-adoption program.
• Manage, coach, and develop a team of Senior Cloud Engineers.
• Partner with application and business teams to assess workloads and create cloud migration and modernization plans.
• Establish Azure landing zones, subscriptions, management groups, policies, access controls, tagging, and governance standards.
• Drive an automation-first approach using infrastructure as code, reusable deployment patterns, and CI/CD pipelines.
• Lead the development of self-service cloud capabilities that allow teams to deploy approved Azure services efficiently.
• Oversee Azure compute, storage, networking, containers, platform services, monitoring, backup, and disaster recovery capabilities.
• Promote cloud-native architectures, managed services, containers, serverless technologies, and modern application patterns.
• Lead the adoption of Azure AI, Azure OpenAI, Microsoft Copilot, AIOps, and intelligent automation to improve engineering productivity and operational support.
• Partner with Cybersecurity and Risk teams to ensure Azure solutions meet security, regulatory, audit, and compliance requirements.
• Establish FinOps practices for cloud forecasting, cost allocation, consumption reporting, rightsizing, and optimization.
• Use Jira to manage engineering backlogs, roadmaps, epics, priorities, dependencies, and delivery commitments.
• Use ServiceNow to support cloud requests, incidents, problems, changes, configuration management, and service delivery workflows.
• Define and report cloud-adoption metrics, delivery progress, platform health, cost trends, risks, and business outcomes.
• Evaluate new Azure services and technology products that improve cloud adoption, reliability, automation, and client experience.
• Serve as the senior escalation point for Azure platform, cloud engineering, and adoption-related issues.
• Maintain strategic relationships with Microsoft and other cloud technology partners.

Job description

Jobtailor is seeking a senior Azure-focused leader in New York to set the enterprise Azure strategy, drive cloud adoption, and mentor a team of Senior Cloud Engineers. You will partner with business units to plan migrations, design landing zones, and establish governance and cost controls.

In this role you will champion automation, IaC patterns, and CI/CD pipelines, while promoting cloud-native architectures and AI-enabled modernization.