Front-End Engineer, React and AWS

Onsite/ Hybrid/ Remote: Remote (EST Work Hours)

Duration: 12 Months to start with

Rate Range: Upto $80/hr W2 or $88/hr C2C

Work Authorization: GC, USCAll valid EADs except OPT, CPT

Must Have:

• 5 years of professional front-end software development experience
• Strong React and TypeScript experience
• HTML5, CSS3, JavaScript
• AWS experience with CloudFront, S3, ECS or Lambda, and API Gateway
• REST and GraphQL API integration
• Front-end testing with Jest, React Testing Library, Cypress, or Playwright
• CI/CD experience using GitHub Actions, AWS CodePipeline, or similar
• Experience building scalable and production-grade front-end applications
• Web performance optimization and accessibility standards
• Experience working on customer-facing applications

Responsibilities:

• Build and enhance front-end applications using React and TypeScript.
• Revamp and modernize existing UI experiences for internal high-visibility applications.
• Develop new front-end capabilities for election and analytics-focused platforms.
• Collaborate with UX designers, product managers, and engineering teams to deliver scalable user experiences.
• Integrate front-end applications with AWS services, REST APIs, GraphQL APIs, and streaming data services.
• Improve usability, search, navigation, and workflow efficiency across applications.
• Write clean, maintainable, and scalable production-ready code.
• Participate in testing, deployment, troubleshooting, monitoring, and optimization activities.
• Support rapid development timelines and work independently with minimal oversight.

Qualifications:

• 5 years of non-internship front-end engineering experience.
• Strong hands-on expertise with React, TypeScript, JavaScript, HTML, and CSS.
• Experience deploying and supporting applications in AWS environments.
• Understanding of component architecture, state management, rendering performance, and browser behavior.
• Experience working in agile product and engineering teams.
• Ability to quickly ramp up and contribute to existing applications and codebases.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Nice to Have:

• Experience with AI-assisted or LLM-integrated interfaces.
• Familiarity with Cursor, Claude Code, or similar AI development tools.
• Familiarity with machine learning concepts.
• Databricks exposure.
• Experience with data visualization libraries such as D3.js, Recharts, or Chart.js.
• Experience with Next.js or server-side rendering frameworks.
• Experience with CloudWatch, Datadog, or similar observability tools.
• Prior experience supporting high-traffic media, news, or real-time analytics platforms.