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
annual discretionary bonus

Applicant Tracking System Keywords

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

Hard Skills & Tools

AWS cloud solutionsapplication migrationfull stack developmentInfrastructure as Codemicroservices architectureserverless paradigmsautomated CI/CD pipelinesapplication security best practicesAI coding assistantsagentic AI frameworks

Soft Skills

analytical skillscommunication skillsstakeholder managementleadershipmentoringcollaborationrisk mitigationproductivity measurementcloud migration best practicesgovernance

Certifications

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