Lead Front-End Developer (React)

We are seeking a Lead Front-End Developer with deep React expertise to craft responsive, accessible web experiences while defining engineering standards and guiding teammates. You will collaborate with cross-functional peers and integrate GenAI into daily delivery to boost speed and quality. Apply to help create meaningful impact!

Responsibilities

Build responsive, user-friendly web applications with high accessibility standards Create reusable frontend libraries and frameworks to boost scalability and maintainability Drive technical decisions for UI implementation, performance, and long-term code health Partner with product managers, designers, and backend engineers to deliver cohesive interfaces Convert UI/UX wireframes into high-quality React and JavaScript code and share design feedback Guide junior developers on best practices, coding standards, and career growth Run code reviews to raise quality, consistency, and team learning Tune application performance to ensure fast load times and smooth interactions Troubleshoot complex issues and ensure cross-browser and cross-device stability Apply unit and end-to-end testing to reduce regressions and increase reliability Work with QA to identify, prioritize, and resolve defects before releases Embed GenAI tools in daily workflows and validate outputs against data and quality constraints Advance continuous improvement by assessing new frontend practices and GenAI-enabled delivery methods Requirements 5+ years of front-end development background in JavaScript and React Proven leadership skills in mentoring developers and driving team alignment (1+ years) Hands-on expertise in designing reusable UI architectures and scalable component libraries Strong competency in code reviews with clear, constructive feedback and quality standards Solid proficiency in project execution across product, design, backend engineering, and QA Strong skills in performance optimization for fast load times and smooth interactions Hands-on qualifications in testing, including unit testing and end-to-end testing practices Strong capability to debug across browsers and devices with a stability-first mindset Applied skills in Generative AI, using GenAI tools for research, drafting, analysis, and code generation Strong expertise in prompt engineering for iterative, production-grade outputs Practical understanding of AI risks, covering hallucinations, context limits, and data sensitivity validation Proficiency in English at a B2+ level Nice to have Knowledge of AI security fundamentals, including prompt injection risks and data classification handling Familiarity with Cybersecurity & Trust practices relevant to secure frontend delivery Background in GenAI application development, connecting GenAI tools to APIs and internal data sources Showcase of GenAI in SDLC, building reusable prompts, agent workflows, or automation templates