Full stack Developer (Python+React)

Role Overview

We are looking for a skilled and motivated Full Stack Developer with 4–7 years of experience in designing, developing, and maintaining scalable web applications. The ideal candidate should have hands-on experience across frontend and backend technologies, strong problem-solving skills, and the ability to work in an agile development environment.

The candidate will collaborate with cross-functional teams including product managers, architects, QA engineers, and DevOps teams to deliver high-quality digital solutions.

Key Responsibilities

• Design, develop, test, and maintain scalable web applications and APIs. 
• Build responsive and user-friendly frontend interfaces. 
• Develop backend services, business logic, and database integrations. 
• Collaborate with UI/UX designers to implement modern user experiences. 
• Optimize applications for performance, scalability, and security. 
• Participate in code reviews and ensure adherence to coding standards. 
• Troubleshoot and debug technical issues. 
• Work with DevOps teams on CI/CD pipelines and deployment activities. 
• Contribute to technical design discussions and architecture decisions. 
• Create and maintain technical documentation. 

Preferred Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field. 
• Experience working in enterprise-scale applications. 
• Exposure to AI-enabled or data-driven applications. 
• Knowledge of caching, messaging queues, and event-driven architecture is preferred. 
• Experience with Databricks or cloud data platforms is an added advantag

Responsibilities

• A python developer with working 30% on React projects experience.
• Strong analytical and problem-solving abilities. 
• Good communication and stakeholder management skills. 
• Ability to work independently and collaboratively in a team environment. 
• Strong ownership mindset and attention to detail. 
• Ability to manage multiple priorities in a fast-paced environment

Qualifications

Preferred Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field. 
• Experience working in enterprise-scale applications. 
• Exposure to AI-enabled or data-driven applications. 
• Knowledge of caching, messaging queues, and event-driven architecture is preferred. 
• Experience with Databricks or cloud data platforms is an added advantage.