- Strong hands-on React and Node.js development.
- API design and integration for customer-facing applications and services.
- Practical experience using GitHub Copilot or a comparable AI coding assistant; GitHub Copilot is preferred for this role.
- Ability to formulate effective prompts and provide useful codebase and requirements context.
- Strong code-review, debugging, and testing skills, including the ability to verify and improve AI-generated output.
- Experience guiding engineering practices or mentoring developers.
Lead implementation across React customer journeys and Node.js services/APIs.
- Set team practices for supplying coding assistants with relevant repository, requirements, design, and test context.
- Coach developers on effective prompts and AI-supported prototyping (“vibe coding”), followed by code review, testing, and hardening.
- Use GitHub Copilot to support implementation, refactoring, test creation, debugging, and documentation.
- Review AI-generated code for correctness, security, maintainability, accessibility, performance, and alignment with architecture and API contracts.
- Guide integration with AWS Cognito, ODL, RSA, and approved enterprise services as assigned.
- Support integration testing, UAT, defect resolution, production readiness, and hypercare.
- Reinforce approved security and privacy practices when using AI tools; do not submit credentials, customer data, or restricted information to unapproved tools.
- AWS Cognito, ODL, RSA, authentication, identity, or MFA integration.
- OIDC/SAML federation or enterprise integration experience.
- Experience applying AI coding tools to test generation, refactoring, debugging, and technical documentation.
- Hands-on with AWS CodeCommit, Amplify, CodePipelines
Job description provided by Zensar.
View the original posting