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Azure AI-Native Full Stack Manager
PwCManager leading full stack modernization and application migration to Microsoft Azure. Requires expertise in full stack development and Azure cloud services with strong leadership capabilities.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in full stack application modernization and migration to Microsoft Azure, with a strong focus on cloud-native architecture, Infrastructure as Code, and AI-driven development practices. Proven ability to lead cross-functional teams and implement security best practices while optimizing application performance and cost.
Highest-signal resume keywords
Microsoft Azure Cloud ServicesFull Stack Application DevelopmentInfrastructure as Code (IaC)CI/CD Pipeline ImplementationAI Tool Adoption and Productivity Measurement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Full Stack TechnologiesAzure App ServicesAzure FunctionsReactAngularNode.jsTerraformBicepAzure DevOpsApplication Security
Soft Skills
LeadershipCommunicationStakeholder Management
Tools & Technologies
GitHub ActionsAzure SQL DatabaseCosmos DBBlob StorageAzure API ManagementDockerKubernetes
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Engineering
Industry Keywords
Cloud MigrationApplication ModernizationAI Coding AssistantsAgentic AI FrameworksCloud Governance
Tech Stack
Tools & technologiesAngularAzureCloudDockerJavaJavaScriptJenkinsKubernetes.NETNode.jsPythonReactSDLCSQLTerraformVue.js
About the role
Key responsibilities & impact- Lead the assessment, planning, and architecture of full stack application modernization and migration projects to Microsoft Azure
- Analyze existing application portfolios for cloud readiness, dependencies, and modernization opportunities
- Architect end-to-end migration solutions including re-hosting, re-platforming, and refactoring of front-end, back-end, and data components
- Design cloud-native application architectures using Azure services such as Azure App Services, Azure Functions, AKS, Azure SQL Database, Cosmos DB, Blob Storage, Azure API Management, and Azure Active Directory
- Develop and maintain Infrastructure as Code (IaC) templates using Azure Resource Manager (ARM), Terraform, or Bicep
- Implement CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools, incorporating AI-powered code quality gates and automated security scanning
- Lead and mentor development teams on AI-native engineering practices, establishing standards for AI tool adoption and measuring productivity gains across modern development frameworks (React, Angular, Vue.js) and backend technologies (Node.js, .NET Core, Java, Python)
- Ensure application security best practices including Azure AD integration, role-based access control (RBAC), data encryption, and compliance
- Collaborate cross-functionally with DevOps, Security, QA, and Business teams for smooth migration and ongoing support
- Monitor application performance, cost, and availability post-migration; implement optimization strategies
- Evaluate and integrate agentic AI solutions into development and deployment workflows to drive automation and efficiency
- Drive documentation of architecture designs, migration plans, and operational procedures
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 6+ years of experience in software development and architecture with proven expertise in full stack technologies
- Minimum 3 years of hands-on experience with Microsoft Azure cloud services and application migration projects
- Daily proficiency with AI coding assistants (GitHub Copilot, Cursor, Claude Code, or Codex) with demonstrated ability to improve team productivity through AI tool adoption
- Experience measuring and reporting AI-driven productivity improvements across engineering teams
- Familiarity with agentic AI frameworks including LangChain, Claude Agent SDK, Azure AI Agent Service, and Azure Fabric, and their application in the SDLC
- Understanding of AI agents in development workflows (automated code review, deployment agents, testing agents)
- Proficiency in front-end frameworks such as React, Angular, or Vue.js
- Strong back-end development skills with Node.js, .NET Core, Java, Python, or equivalent
- Experience migrating legacy applications to Azure using methodologies like lift-and-shift, re-platforming, refactoring
- In-depth knowledge of Azure services such as Azure App Services, AKS, Azure Functions, Azure SQL, Cosmos DB, Azure Storage, Azure API Management, and Azure Active Directory
- Skilled with Infrastructure as Code (ARM templates, Terraform, Bicep)
- Experience creating and managing CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins
- Familiarity with containerization and orchestration tools (Docker, Kubernetes, AKS)
- Strong understanding of application security, identity management, and cloud governance in Azure
- Excellent communication, leadership, and stakeholder management skills
- Proven track record leading cloud migration or modernization projects
Benefits
Comp & perks- Dynamic and digitally enabled training that is designed to grow your technical and professional skills