Lead Engineer/Architect - Frontend

This role is for one of Weekday’s clients Min Experience: 12+ years Location: Bengaluru JobType: full-time As a Lead Engineer - Frontend, you will be responsible for technically leading the overall Frontend PWA client architecture for all our applications that run across channels (Android, iOS, Web, etc. ) and building completely theme-able web applications that can be white-boxed to our clients. Requirements Responsibilities: • Design and implementation of low-latency, high-availability, and performant applications. • Integration of user-facing elements developed by front-end developers with server-side logic. • Lead a team of developers (front-end/UI), as well as contribute as a hands-on front-end developer. • People management and technical management. • Writing reusable, testable, and efficient code. • Make swift decisions on the way to build the product. • Articulate the approach to all the relevant team members. • Implementation of security and data protection. • Integration of data storage solutions. • Understanding of front-end technologies, such as HTML5 and CSS3. • Understanding accessibility and security compliance. • Integration of multiple data sources and databases into one system. • Understanding the fundamental design principles behind a scalable application. • Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform. • Implementing automated testing platforms and unit tests. Requirements: • 11+ years of experience in the design and implementation of microservices. • Stronghold in algorithms and problem-solving. • Hands-on experience in coding languages like React.js and D3.js. • Good understanding of server-side templating and CSS preprocessors. • Innovative and able to reach and collaborate with other team members and functional teams. • Ability to handle multiple tasks in a fast-paced environment. Must-have skills ReactJS, Javascript, html 5 Good-to-have skills LLM, rag, agentic ai