Manager, Solution Architect

PwC
Los Angeles, CA, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$99,000.0 - $232,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) .NET Framework Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Applications Architecture Application Layers Cloud Computing Cloud Engineering Software Quality Code Review
+45 more
Continuous Integration Cursor (Graphical User Interface Elements) DevOps Amazon DynamoDB Java Platform Enterprise Edition (J2EE) Identity and Access Management Python (Programming Language) Node.Js Performance Tuning Systems Development Life Cycle Cloud Services Software Engineering AWS Cdk GitHub Copilot ReactJS Delivery Pipeline Prompt Engineering Software Security Backend AWS ECS Cloudformation Vue.js Data Layers Event Driven Architecture Database Migration Amazon Relational Database Service Server Migration Containerization AngularJS Gitlab-ci Kubernetes Infrastructure Automation Frameworks Information Technology Deployment Automation Front End Software Development Cloud Migration Cloudwatch Api Gateway Terraform Code Restructuring Serverless Computing Docker Jenkins Microservices Oracledb

Job description

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.

Requirements

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 (CloudFormation, Terraform, CDK).

Proficient with containerization and orchestration (Docker, Kubernetes, AWS ECS/EKS).

Experience setting up automated CI/CD pipelines (AWS CodePipeline, Jenkins, GitLab CI).

In-depth understanding of microservices architecture, serverless paradigms, and event-driven design.

Solid experience in application security best practices on AWS.

Excellent analytical, communication, and stakeholder management skills.

Proven success in leading cloud migration projects impacting multiple application layers.

Preferred Qualifications

AWS Certifications such as AWS Certified Solutions Architect - Professional, AWS Certified DevOps Engineer, or AWS Certified Developer.

Experience with migration tools like AWS Application Migration Service (MGN), AWS Server Migration Service (SMS), or Database Migration Service (DMS).

Familiarity with cloud cost management and performance optimization post-migration.

Exposure to Agile/Scrum methodologies.

Experience with enterprise-scale applications and multi-account AWS environments.

Knowledge of legacy technologies (e.g., .NET Framework, Java EE, Oracle DB).

Benefits & conditions

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual’s skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About the company

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.

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.

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 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.

What We Do:

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.

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