Software Engineer- I (Frontend)

About Us - Attentive.ai is a fast-growing vertical SaaS start-up, funded by Peak XV (Surge), InfoEdge, Vertex Ventures, and Tenacity Ventures that provides innovative software solutions for the landscape, paving & construction industries in the United States. Our mission is to help businesses in this space improve their operations and grow their revenue through our simple & easy-to-use software platforms.

Position Description: We are looking for a Software Engineer with excellent design, hands on development & technical skills along with good interpersonal skills, capable of working in highly critical transformation projects. As a Software engineer at Attentive, you will help us design, develop and maintain beautiful interfaces and complex client-side applications of our SaaS product

Roles & Responsibilities

Write effective, scalable and reusable code

Develop and maintain user facing elements integrated securely with internal backend

Participate and contribute in system design and architecture discussions

Take full ownership of assigned modules and ensure product delivery as per agreed timelines

Mentor junior team members and perform code reviews

Conduct frequent brainstorming sessions and motivate team and drive innovations

Test and debug programs

Improve functionality of existing systems

Implement security and data protection solutions

Assess and prioritize feature requests

Coordinate with internal teams to understand user requirements and provide technical solutions.

Required Skills & Experience

Proficiency with HTML, CSS, JavaScript

Experience with Next.js, React.js, TypeScript and relevant libraries such as React Query, Zustand etc.

Understanding of SEO principles

Understanding of cross-browser compatibility issues and workable solutions

Good To Have

Understanding of Geographic Information Systems and related terminologies is preferred

Understanding of front-end mapping libraries like OpenLayers, Leaflet etc.

Understanding of webpack config, web page speed and size optimization

Understanding of Docker build system and deployment configurations.