Industry/Sector
Not Applicable
Specialism
Product Innovation
Management Level
Senior Manager
Job Description & Summary
At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.
Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Craft and convey clear, impactful and engaging messages that tell a holistic story.
- Apply systems thinking to identify underlying problems and/or opportunities.
- Validate outcomes with clients, share alternative perspectives, and act on client feedback.
- Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
- Deepen and evolve your expertise with a focus on staying relevant.
- Initiate open and honest coaching conversations at all levels.
- Make difficult decisions and take action to resolve issues hindering team effectiveness.
- Model 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.
About the Role
We are seeking an AI-NativeFulltStack SeniorEngineeringManagerto lead the modernization and cloud transformation of legacy and on-premises workloads into cloud-native AWS solutions. The ideal candidate combines deep, hands-onexpertisein full-stack application development on AWS with strong architectural leadership in migrating and modernizing applications. You will define the AI-native engineering strategy for your teams,establishstandards for AI tool adoption across the organization, evaluate emerging AI development platforms, and drive measurable efficiency gains. AI-assisted development is not an add-on - it is how your teamsoperate.
Key Responsibilities
- Lead assessment, planning, and execution of full stack application migrations to AWS.
- 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 AWS-native architectures using Lambda, EC2, ECS/EKS, API Gateway, RDS, DynamoDB, S3, CloudFront, Cognito, and IAM.
- Develop Infrastructure as Code using Terraform, CloudFormation, or AWS CDK.
- Implement CI/CD pipelines incorporating AI-powered code quality gates, automated security scanning, and AI-assisted deployment validation.
- Define and drive AI-native engineering strategy across teams,establishingstandards for AI tool adoption, measuring productivity gains, and reporting efficiency metrics to leadership.
- Lead and mentor engineering teams on modern development frameworks (React, Angular, Vue.js) and backend technologies (Node.js, Java, Python) with AI-augmented workflows as the default.
- Design applications with AI agent integration points, evaluating and architecting agentic AI solutions within modernization and migration initiatives.
- Implement AWS security best practices and govern identity, compliance, and networking.
- Collaborate with DevOps, Security, QA, and business teams for delivery excellence.
- Use CloudWatch, X-Ray, and CloudTrail for observability and performance optimization.
- Evaluate emerging AI development tools and platforms; set adoption strategy and measure ROI for the engineering organization.
- Maintain architecture and migration documentation.
AI-Native Engineering Expectations
- Use AI coding assistants (GitHub Copilot, Cursor, Claude Code, Codex, Kiro) as your default development workflow and define the AI-native engineering strategy for the organization.
- Evaluate emerging AI development tools and platforms; set adoption strategy and measure ROI.
- Establish organization-wide standards for AI-assisted development, code review, testing, and deployment.
- Drive measu