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.

Benefits

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AWSapplication architecturecloud migrationfull stack developmentInfrastructure as CodeCI/CD pipelinesmicroservices architectureapplication securitycontainerizationorchestration

Soft Skills

analytical skillscommunication skillsstakeholder managementleadershipmentoringcollaborationrisk mitigationproductivity measurementbest practices enforcementteam productivity improvement

Certifications

Bachelor's degree in Computer ScienceMaster's degree in Engineering