City: Glendale, CA
Onsite/ Hybrid/ Remote: Hybrid (3 days onsite per week, no flexibility)
Duration: 12 Months
Rate Range: Upto $89/hr on W2
Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B
Must Have:
- AI-assisted coding tools such as Cursor, GitHub Copilot, and Claude
- Front-end development with JavaScript and TypeScript
- HTML5, CSS3, SCSS
- Strong experience with React or Angular
- REST API integration
- Front-end architecture, reusable components, and state management
- Performance optimization and accessibility
- Git and collaborative development workflows
- SQL and relational database experience
- CI/CD pipelines
- Docker
Responsibilities:
- Build and maintain scalable, responsive, and accessible front-end applications
- Use AI coding tools daily for development, refactoring, testing, debugging, and documentation
- Review and validate AI-generated code for accuracy, security, performance, and maintainability
- Create reusable UI components and front-end standards
- Partner with UX/UI teams to turn designs into production-ready interfaces
- Integrate front-end applications with REST APIs and authentication flows
- Contribute to back-end services when needed using AI tools to ramp up quickly
- Support CI/CD pipelines and containerized application workflows
- Troubleshoot issues across front-end and connected services
Qualifications:
- 6+ years of professional software development experience with strong front-end depth
- Strong hands-on experience building production applications with React or Angular
- Expert knowledge of JavaScript, TypeScript, HTML, and CSS
- Strong understanding of component design, testing, maintainability, and application performance
- Experience working across mixed technology stacks with fast ramp-up time
- Ability to read and modify back-end code when needed
- Bachelor’s degree in Computer Science, Engineering, or related technical field
Nice to Have:
- Experience with multiple front-end frameworks
- Experience with modern authentication patterns
- Functional programming knowledge
- DevOps and deployment support experience
- Experience working in large enterprise application environments