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