Live opening · Posted 11 days ago
The key details from the original listing.
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Description supplied by the original job listing.
The core responsibilities for the job include the following:
Frontend Engineering (Core Focus):
Build responsive, high-performance user interfaces using React (knowledge of Next.js is a plus).
Translate complex analytics and AI outputs into intuitive dashboards, workflows, and visualizations.
Own frontend architecture, state management, and component design for a data-heavy SaaS product.
Ensure consistent UX across browsers, devices, and screen sizes.
Full-Stack Collaboration:
Integrate frontend applications with backend services via REST and GraphQL APIs.
Collaborate closely with backend and AI/ML engineers to define data contracts and optimize data delivery.
Contribute to backend development when required using Python, Node.js, or similar technologies.
Performance, Quality, and Reliability:
Optimize rendering, load times, and frontend performance for large datasets.
Implement robust error handling, caching, and client-side performance strategies.
Write clean, testable, maintainable code and participate actively in code reviews.
Product and Design Partnership:
Work closely with product managers and designers to shape features from idea to execution.
Provide technical input on UX trade-offs, feasibility, and scalability early in the design process.
Requirements:
3+ years of experience as a frontend or full-stack engineer.
Strong proficiency in React (this is mandatory).
Solid command of JavaScript/TypeScript, HTML, CSS, and modern frontend tooling.
Experience consuming and integrating RESTful APIs and/or GraphQL.
Working knowledge of backend technologies such as Python or Node.js .
Familiarity with PostgreSQL, MongoDB, or similar databases.
Experience with cloud platforms (AWS / GCP / Azure) and modern DevOps workflows.
Strong problem-solving skills, attention to detail, and a product-oriented mindset.
Clear communication and comfort working in a fast-moving, collaborative environment.
Bonus Points:
Experience building analytics dashboards or data-heavy applications.
Exposure to AI-driven products, LLM-powered features, or ad-tech platforms.
Familiarity with design systems, frontend performance monitoring, or visualization libraries.
Experience
2-5 yrs
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