Software Engineering Manager overseeing design and delivery of a complex digital ecosystem for Ford. Collaborating with teams across the globe and transforming project mindsets into product - focused strategies.
About the role
- AI-Native Senior Engineering Manager leading the modernization of legacy systems to cloud-native AWS solutions at PwC. Driving AI-native engineering standards and mentoring teams.
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
- Establish standards 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)
- Design applications with AI agent integration points
- Implement AWS security best practices
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 15+ years of experience in software engineering and architecture
- 6+ years of hands-on AWS experience including modernization or migration
- Daily proficiency with AI coding assistants (GitHub Copilot, Cursor, Claude Code, Codex, or Kiro)
- Experience evaluating and adopting new AI development tools and platforms for engineering organizations
- Hands-on experience with agentic AI frameworks including LangChain, Claude Agent SDK, and Bedrock Agent SDK
- Experience designing applications with AI agent integration points
- Ability to measure and report AI-driven efficiency metrics to leadership
- Proficiency in front-end frameworks such as React, Angular, or Vue.js
- Strong back-end development skills with Node.js, Java, Python, or equivalent
- Experience migrating legacy applications to AWS
- Hands-on experience with AWS services including Lambda, S3, RDS, DynamoDB, API Gateway, CloudFront, Cognito, IAM
- Strong knowledge of Infrastructure as Code (Terraform, CloudFormation, CDK)
- Familiarity with containerization and orchestration tools (Docker, Kubernetes, ECS/EKS)
- Strong understanding of application security, identity management, and cloud governance in AWS
- Strong communication, leadership, and stakeholder management skills
- Proven track record leading cloud migration or modernization projects
- Knowledge of Agile methodology and practices
- Prior experience with microservices architecture, serverless patterns, and event-driven design
Benefits
- Medical
- Dental
- Vision
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
- Annual discretionary bonus
Job title
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