This is a remote position.
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, USC, H1B All valid EADs except OPT, CPT
Must Have:
5+ years of professional front-end software development experience
Strong Reactand TypeScript experience
HTML5, CSS3,JavaScript
AWS experience with CloudFront, S3, ECS or Lambda, and API Gateway
RESTand GraphQL API integration
Front-end testing with Jest, React Testing Library, Cypress, or Playwright
CI/CDexperience 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.