Web Developer (Full Stack) Walk-In Interviews

Walk-In Interviews at Global Consulting (GC) – Mumbai

Position:

Department:

Type:

Interview Details (Walk-In)

Venue:

401, Crescent Avenue, The Avenue, IA Project Rd, Chimatpada, Marol,

Andheri East, Mumbai, Maharashtra 400059

Google Maps:

Dates:

Timings:

Contact:

Work Timings (Post Selection):

Monday to Friday

OR

Experience Required:

2 to 5 years

About Global Consulting (GC):

modern web, SaaS, AI-enabled, and enterprise digital solutions

Role Overview:

Full Stack Web Developer

React, Node.js, Python, Java, and WordPress

Key Responsibilities:

• Design, develop, and maintain

  full-stack web applications

  .
• Build

  SaaS-based platforms

  , dashboards, and subscription-driven websites.
• Develop responsive UIs using

  React.js, HTML5, CSS3, JavaScript

  .
• Build and maintain backend services using

  Node.js, Python, and Java

  .
• Work with

  WordPress

  for custom themes, plugins, and integrations (not limited to CMS use).
• Design and integrate

  REST APIs

  and third-party services.
• Work with databases such as

  MySQL, PostgreSQL, MongoDB

  .
• Collaborate with product, design, and AI teams to deliver scalable solutions.
• Ensure performance optimization, security, and clean code practices.

Required Skills & Technologies:

Frontend:

• React.js, JavaScript, HTML5, CSS3
• Responsive design & modern UI frameworks

Backend:

• Node.js
• Python (Flask / Django)
• Java (Spring or core Java exposure preferred)

CMS & Platforms:

• WordPress (custom development, APIs, integrations)

SaaS Development:

• Experience building or working on

  SaaS products

  , admin panels, user roles, and subscriptions
• Understanding of multi-tenant architecture is a plus

Databases:

• MySQL, PostgreSQL, MongoDB

Tools & Others:

• Git / GitHub
• REST APIs
• Basic cloud deployment exposure (AWS / GCP / Azure – plus)

Good to Have:

• Experience with

  authentication, role-based access, and payment gateways

  .
• Exposure to

  CI/CD pipelines

  .
• Knowledge of

  Docker or containerized deployments

  .
• Experience working with

  AI or ML integrations

  is an added advantage.