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)
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.

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

AWSTerraformCloudFormationAWS CDKReactAngularVue.jsNode.jsJavaPython

Soft Skills

leadershipcommunicationstakeholder managementmentoringcollaborationreportingstrategic planningproblem-solvingefficiency measurementteam management