Senior Engineering Manager, Full Stack

Role Overview

• 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, establishing 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) 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.

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) with a track record of establishing AI-native engineering practices across teams
• 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 and understanding how agentic AI intersects with the application layer
• 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 using methodologies like lift-and-shift, re-platforming, and refactoring
• 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.

Tech Stack

• Angular
• AWS
• Cloud
• Docker
• DynamoDB
• EC2
• Java
• JavaScript
• Kubernetes
• Microservices
• Node.js
• Python
• Ray
• React
• Terraform
• Vue.js

Benefits

• medical
• dental
• vision
• 401k
• holiday pay
• vacation
• personal and family sick leave
• annual discretionary bonus