Industry 4.0 Full-Stack Engineer: Python, Flask & React

INTECH Automation & Intelligence; Lahore; On-site; PKR 4,994,000 - 9,989,000; Full time

Benefits offered by this job

Global Exposure

Competitive USD compensation

Annual USD bonus

In-House Lunch

Health Insurance

Learning opportunities

Work-Life Balance

Inclusive Environment

Job summary

INTECH Automation Intelligence is seeking a Full Stack Developer to join our Industrial Intelligence team. You will design, develop, and maintain scalable backend services and RESTful APIs using Python and Flask, and collaborate with frontend teams on API contracts and React.js integration.

You will optimize PostgreSQL schemas, write efficient SQL for analytics, and contribute to CI/CD, testing, and deployment practices in a dynamic Industry 4.0 environment.

Qualifications

• 7-8 years of experience in backend development.
• Strong proficiency in Python, Flask, and REST API design.
• Advanced PostgreSQL and SQL performance tuning.
• Hands-on experience with production-grade backend systems.
• Strong debugging and ownership mindset; backend-frontend collaboration.

Responsibilities

• Design, develop, and maintain scalable backend services and RESTful APIs using Python and Flask.
• Collaborate with frontend teams to define API contracts and React.js integration.
• Write optimized SQL queries for analytics, reporting, and business insights.
• Monitor, debug, and resolve backend issues across development, staging, and production environments.
• Contribute to CI/CD pipelines, code reviews, and secure, maintainable code.

Skills

Python

Flask

REST API design

PostgreSQL tuning

React.js integration

Debugging

Backend scalability

Job description

INTECH Automation Intelligence is seeking a Full Stack Developer to join our Industrial Intelligence team. You will design, develop, and maintain scalable backend services and RESTful APIs using Python and Flask, and collaborate with frontend teams on API contracts and React.js integration.

You will optimize PostgreSQL schemas, write efficient SQL for analytics, and contribute to CI/CD, testing, and deployment practices in a dynamic Industry 4.0 environment.