React Tech Lead

We are seeking a highly skilled React Technical Lead to drive the design and development of modern web applications. The ideal candidate will have strong expertise in React.js , leadership capabilities, and experience working in onshore client environments. You will lead a team of developers, ensure best practices, and collaborate with stakeholders to deliver high-quality solutions.

Work Mode : Initially work from office as per client requirement (atleast 2 to 3 days a week) with remote work possibility later

Key Responsibilities:

• Lead the development of React-based applications , ensuring scalability, performance, and maintainability.
• Collaborate with UX/UI designers , backend teams , and business analysts to translate requirements into technical solutions.
• Define and enforce coding standards , best practices , and design patterns for front-end development.
• Perform code reviews , mentor junior developers, and provide technical guidance.
• Optimize application performance and troubleshoot complex issues.
• Work closely with onshore/offshore teams and manage client interactions effectively.
• Ensure compliance with security standards and accessibility guidelines .
• Participate in architecture discussions and contribute to technical roadmaps.

Required Skills & Qualifications:

• 6–8 years of experience in front-end development, with at least 3+ years in React.js .
• Strong proficiency in JavaScript (ES6+), HTML5, CSS3 , and TypeScript .
• Experience with Redux , React Hooks , and Context API .
• Familiarity with RESTful APIs , GraphQL , and microservices architecture .
• Hands-on experience with Webpack , Babel , and modern build tools .
• Knowledge of unit testing frameworks (Jest, React Testing Library).
• Exposure to CI/CD pipelines and DevOps practices .
• Excellent communication and leadership skills; ability to manage client expectations.
• Experience in Agile/Scrum methodologies .
• Knowledge of Next.js , Node.js , or Cloud platforms (AWS/Azure) .
• Familiarity with containerization (Docker/Kubernetes) .
• Understanding of performance optimization techniques for large-scale apps.