AI-Native Engineering Lead, Full Stack - Manager

Role Overview

• 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.

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.

Tech Stack

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

Benefits

• Medical
• Dental
• Vision
• 401k
• Holiday Pay
• Vacation
• Personal and Family Sick Leave