Manager, Solution Architect

Software Engineering Manager

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 revolutionize industries and deliver exceptional user experiences.

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.

The world runs on data. It flows between machines, platforms, clouds, and people – and the organizations that harness it intelligently win. At PwC's Digital Integration & Architecture practice, we're the architects of that future. We help the world's most ambitious companies reimagine how their technology talks, thinks, and acts – and we're looking for exceptional people to help us lead that charge.

We sit at the intersection of technology strategy and real-world execution. Our team designs and delivers the integration fabric and platform architectures that power modern enterprises – from cloud-native API ecosystems and event-driven architectures to AI-infused data pipelines and intelligent automation.

But this isn't just engineering. It's vision. We advise C-suite leaders and technology executives across every major industry on how to think differently about their architecture – how to move from legacy monoliths to composable, AI-ready platforms that can adapt at the speed of business.

We bring the latest thinking in Artificial Intelligence to every engagement. We challenge clients to ask bigger questions: How can AI reshape your integration strategy? How do you architect systems that don't just connect machines – but enable machines to think alongside humans? These are the conversations we live for.

As a Manager in our Digital Integration & Architecture practice, you'll be a trusted advisor, a technical visionary, and a team leader – often all in the same day.

You'll lead client engagements from the front, shaping architecture strategies that blend technical depth with business impact. You'll work hand-in-glove with our clients – not just delivering solutions, but challenging their thinking, building their capability, and guiding them through transformational change.

This is a role for someone who thrives on complexity and knows that the best solutions require both left-brain precision and right-brain empathy.

Key Responsibilities

Lead architecture and technical strategy for migrating legacy and on-premises applications to AWS cloud.

Assess existing application architectures and codebases for cloud readiness and modernization opportunities.

Design scalable, secure, and automated migration solutions for full stack applications (front-end, back-end, data layers).

Implement application refactoring, re-platforming, or re-architecting efforts to leverage AWS native services (e.g., Lambda, ECS / EKS, RDS, DynamoDB).

Develop front-end and back-end architectures ensuring seamless integration and cloud compatibility.

Define cloud infrastructure using Infrastructure as Code (IaC) tools such as AWS CloudFormation, Terraform, or AWS CDK.

Create and maintain CI/CD pipelines for continuous integration and automated deployments, 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 and backend technologies.

Collaborate with cross-functional teams including DevOps, security, QA, and product to ensure successful migration and operation.

Develop and enforce cloud migration best practices, security policies, and governance.

Evaluate and integrate agentic AI solutions into development and deployment workflows to drive automation and efficiency.

Identify and mitigate risks associated with migration activities.

Monitor migrated applications for performance, cost optimization, and security compliance on AWS .

Stay current with AWS migration tools, AI development tools, and cloud-native patterns to continuously improve approach.

AI-Native Engineering Expectations

Use AI coding assistants (GitHub Copilot, Cursor, Claude Code, Codex, Kiro) 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.

7+ years of IT experience including extensive software development and application architecture.

Minimum 3 years of hands-on experience with AWS cloud solutions, focusing on application migration and modernization.

Daily proficiency with AI coding assistants (GitHub Copilot, Cursor, Claude Code, Codex, or Kiro) 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, and Bedrock Agent SDK, and their application in the SDLC .

Understanding of AI agents in development workflows (automated code review, deployment agents, testing agents).

Strong full stack development skills with front-end (React, Angular, Vue.js) and back-end (Node.js, Java, Python,. NET ) frameworks.

Experience migrating monolithic, legacy, or on-premises applications to AWS (lift-and-shift, re-platforming, refactoring).

Deep knowledge of AWS services: EC2, Lambda, ECS / EKS, API Gateway, RDS, DynamoDB, S3, Cognito, CloudWatch, IAM .

Strong skills in Infrastructure as Code (IaC) tools.