Acceleration Center - Cloud Engineering, Data & Analytics (CEDA) - Azure AI-Native Full Stack - Manager

At PwC, our people in integration and platform architecture focus on designing and implementing seamless integration solutions and robust platform architectures for clients. They enable efficient data flow and optimise technology infrastructure for enhanced business performance.

Those in integration architecture at PwC will focus on designing and implementing seamless integration solutions to connect various organisational systems and applications. Your work will involve creating robust architectures that enable efficient data flow and enhance overall business processes.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

• When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
• As part of the Integration Architecture team you will lead the architecture and technical strategy for migrating applications to AWS cloud. As a Manager you will motivate and inspire teams, đảm bảo project success while maintaining standards and delivering exceptional results for our clients.
• About the role
• We are seeking an AI-Native Full Stack Engineering Lead to spearhead the full stack modernization and migration of legacy and on-premises applications to Microsoft Azure. The ideal candidate combines comprehensive expertise in front-end and back-end technologies with deep knowledge of Azure cloud services and migration strategies. You will be responsible for designing scalable, secure, and optimized cloud-native solutions while leading teams through migration, modernization, and deployment initiatives. As an AI-native leader, you will set AI tool standards for your team, measure AI-driven productivity improvements, and mentor engineers on AI-assisted development workflows as the standard operating model.

Key Responsibilities

• 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.
• AI-Native Engineering Expectations
• Use AI coding assistants (GitHub Copilot, Cursor, Claude Code, Codex) as your default development workflow and set standards for team adoption.
• Measure and report AI-driven productivity improvements across your engineering team.
• Mentor engineers on effective AI-assisted development patterns, prompt engineering, and AI tool workflows.
• Evaluate AI agents and automation tools for integration into development, testing, and deployment pipelines.
• Establish team norms for AI-assisted code review, test generation, and documentation.

Required Qualifications

• 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.
• Preferred Qualifications

Azure Certifications Such As Microsoft Certified

• Azure Solutions Architect Expert, Azure Developer Associate, or Azure DevOps Engineer Expert.
• Experience with Azure Migrate, Azure Database Migration Service, and other Azure migration tools.
• Knowledge of Agile and DevOps practices.
• Familiarity with monitoring and logging tools such as Azure Monitor, Application Insights, Log Analytics.
• Prior experience with microservices architecture, serverless patterns, and event-driven design.
• Experience working in enterprise multi-subscription environments.